Career Development for certain job series

This Web Map contains all open and upcoming positions in the USDA Forest Service. The data for this map in the Open and Upcoming Positions Layers is updated every weekday, and comes from USAJobs, which shows all current open positions, and the Outreach Database, which shows all upcoming positions. Learn more about a career in the Forest Service on the Careers webpage which has information about upcoming events and conferences, career fields, benefits, pay, programs for recent grads, and so much more.This WebMap is used as the basemap for the Careers Map Web Experience, which is an interactive tool for job seekers. For questions or concerns, please contact the Recruitment Map Team at sm.fs.fsnr@usda.gov.

This dataset maps the competences of the European Digital Competence Framework (DigComp) to the skills descriptors in ESCO, the European classification of skills, qualifications and occupations, which is the target classification used in Skills-OVATE, a database of European online job advertisements (OJA). This experimental mapping allows to reconcile the “demand side” of digital skills sought by employers with the “supply side” of education and training for digital skills, through the lens of DigComp, which is used in many EU digital skills initiatives at international, national and regional levels.

description: Dataset featuring the full-time, part-time and seasonal jobs, as well as internships posted on the City's job portal @ https://www.raleighnc.gov/jobs This dataset is updated weekdays by 9am and does not contain past (non-active) postings.; abstract: Dataset featuring the full-time, part-time and seasonal jobs, as well as internships posted on the City's job portal @ https://www.raleighnc.gov/jobs This dataset is updated weekdays by 9am and does not contain past (non-active) postings.

Experiment data for paper "Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing".

career_center jobs one-stop training

JOBS PROXIMITY INDEXSummaryThe jobs proximity index quantifies the accessibility of a given residential neighborhood as a function of its distance to all job locations within a CBSA, with larger employment centers weighted more heavily. Specifically, a gravity model is used, where the accessibility (Ai) of a given residential block- group is a summary description of the distance to all job locations, with the distance from any single job location positively weighted by the size of employment (job opportunities) at that location and inversely weighted by the labor supply (competition) to that location. More formally, the model has the following specification: Where i indexes a given residential block-group, and j indexes all n block groups within a CBSA. Distance, d, is measured as “as the crow flies” between block-groups i and j, with distances less than 1 mile set equal to 1. E represents the number of jobs in block-group j, and L is the number of workers in block-group j. The Longitudinal Employer-Household Dynamics (LEHD) has missing jobs data in all of Puerto Rico and a concentration of missing records in Massachusetts. InterpretationValues are percentile ranked with values ranging from 0 to 100. The higher the index value, the better the access to employment opportunities for residents in a neighborhood. Data Source: Longitudinal Employer-Household Dynamics (LEHD) data, 2017. Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 8. To learn more about the Jobs Proximity Index visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 07/2020

Understanding job titles, career trajectories, and promotions provides valuable insight into labor market dynamics and professional mobility. We present Career Map (CMap), a novel dataset spanning 24 industry sectors, systematically structured to study job specialization, sector concentration, and career advancements. Using advanced natural language processing techniques and large language models, we standardize 6.2 million job titles into 109 thousand unique titles and introduce a Specialization Index to quantify how specialized a title is within its sector. The dataset includes both a structured job titles dataset and a set of identified promotions—30 thousand validated promotions from the United States and the United Kingdom, and 72 thousand inferred promotions from a global context. It enables research on job hierarchies, workforce mobility and systemic inequalities in professional advancement. By providing insights into career progression patterns, labor market structures, and the impact of education and experience, this dataset serves as a valuable resource for economists, sociologists, and computational researchers studying employment trends across industries and regions.This repository contains the code necessary to recreate Figure 4 and Table 4 from the original manuscript.

The PERM Sponsorship Trends linear chart visualizes the number of PERM cases filed by Cartography Biosciences from 2020 to 2023, highlighting the company’s long-term sponsorship patterns. The horizontal bar chart titled Distribution of Job Fields Receiving PERM Sponsorship further categorizes sponsored roles by job type.

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Missouri Career Centers offer personal assistance for your job search or hiring needs. Our staff is trained to assist you with products and services designed for both Job Seekers and Employers!

The Career Centers data set houses the Division’s information for customers on all of the Career Centers across the state.

Research career sequences, defined by positional state (first digit) and institutional state (second digit), for selected months since PhD–three illustrations.

The total number of jobs per neighborhood. This indicator only counts jobs that are currently held by employees. Source: U.S. Census Bureau, Longitudinal Employer-Household Dynamics Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022

JOBS PROXIMITY INDEXSummaryThe jobs proximity index quantifies the accessibility of a given residential neighborhood as a function of its distance to all job locations within a CBSA, with larger employment centers weighted more heavily. Specifically, a gravity model is used, where the accessibility (Ai) of a given residential block- group is a summary description of the distance to all job locations, with the distance from any single job location positively weighted by the size of employment (job opportunities) at that location and inversely weighted by the labor supply (competition) to that location. More formally, the model has the following specification: Where i indexes a given residential block-group, and j indexes all n block groups within a CBSA. Distance, d, is measured as “as the crow flies” between block-groups i and j, with distances less than 1 mile set equal to 1. E represents the number of jobs in block-group j, and L is the number of workers in block-group j. The Longitudinal Employer-Household Dynamics (LEHD) has missing jobs data in all of Puerto Rico and a concentration of missing records in Massachusetts. InterpretationValues are percentile ranked with values ranging from 0 to 100. The higher the index value, the better the access to employment opportunities for residents in a neighborhood. Data Source: ACS 2017 - 2021 5 year summary data. Longitudinal Employer-Household Dynamics (LEHD) data, 2017. Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 8. To learn more about the Jobs Proximity Index visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 2017 - 2021 ACSDate Updated: 10/2023

Philippe Vandermaelen (1795-1869) was born in Brussels at the end of the 18th century into a wealthy family. Already in his childhood he was very interested in cartography and became self-taught. He started his career with a work of monumental proportions: an Atlas universel, which he published between 1825 and 1827 in forty installments of ten folios each. This work is exceptional in two respects: it is the first world atlas, on a single scale, from which a gigantic globe with a diameter of 7.55 meters can be made; Moreover, it is the first atlas that was created using a printing technique that artists highly prized but with which scientists were not yet familiar: lithography. It did not take long for Philippe Vandermaelen to enjoy international fame. Immediately afterwards he started work on an Atlas de l'Europe in 165 folios. In 1830, Vandermaelen founded the Etablissement géographique de Bruxelles at the gates of the city. When Belgium became independent, the cartographer adapted his production. In just a few months he completed the first pages of a Carte de la Belgique d'après Ferraris in 42 folios. In parallel, he led a large-scale information gathering campaign that enabled him to begin publishing the Dictionnaires géographiques spéciaux des provinces de la Belgique in 1831. Very quickly Vandermaelen became the Belgian cartographer par excellence. In 1831 he was commissioned by the government to draw up a Carte des frontières on the basis of which negotiations between Belgium and Holland would be conducted. It was the beginning of a long collaboration between the government and this private entrepreneur. Vandermaelen was commissioned to map the roads, canals, railways and telegraph after the borders, and then also the mines and factories, the general leveling, the subsoil of Belgium and the expansion of Brussels. He took advantage of his privileged relations with the government to get his hands on the handwritten plans of the municipal land registries. He also acquired the existing trigonometry. He sent his topographers to the nine provinces to make the necessary measurements and published two Cartes topographiques de la Belgique: the map on a scale of 1:80,000 in 25 folios – a masterpiece of lithography – was completely completed in 1853, while the 250 folios of the map at a scale of 1:20,000 were published between 1846 and 1854, long before the map of the Military Depot, the first folios of which only rolled off the presses in 1865. When the Etablissement géographique de Bruxelles closed its doors for good in 1880, the Royal Library of Belgium acquired the lion's share of the immense production (Source: KBR). The digital disclosure of Vandermaelen's topographic map on a scale of 1:20,000 was achieved through a collaboration in 2009 between KBR and the then AGIV (Agency for Geographical Information Flanders), now Digital Flanders. The maps were digitized, georeferenced and made available for consultation via geopunt.be, the geoportal of GDI-Flanders. The intellectual property rights of the georeferenced maps are shared and belong to KBR and Digitaal Vlaanderen.

Michigan, together with business, education, and community partners, is embarking on a journey to make Michigan a world leader in STEM (Science, Technology, Engineering, and Mathematics) education. The work of the MiSTEM Network is to build on existing STEM networks to create a STEM ecosystem that supports and implements the components outlined in the four pillars: creating a STEM culture; empowering STEM teachers; integrating business and education; and, ensuring high quality STEM experiences.This story map provides an interactive map to explore where various STEM career opportunities are in the west central region.After you have had a chance to look at the story map, please give us some feedback on what was helpful, what could be improved, and the reason you are using this story map.

The data part of this release support the results presented in the paper "Optimal Map Reduce Job Capacity Allocation in Cloud Systems", by M. Malekimajd, D. Ardagna, M. Ciavotta, A.M. Rizzi and Mauro Passacantando. Published on
ACM SIGMETRICS Performance Evaluation Review. 42 (4), 50-60. 2015.

When referring to the dataset or scripts please cite the paper above.

🇫🇷 프랑스 English Dataset of career plans kept at the Hauts-de-Seine Departmental Archives. * * * * Paris and its suburbs have spread over land whose basements are exploited in the form of quarries. Aware of the risks, the collapses having already occurred, King Louis XVI signed a decree in April 1777 creating the General Inspectorate of Quarrys. This administration is responsible for the monitoring and consolidation of the old quarries, and for mapping these “empties”. These maps are very precise, and make it possible to know precisely the nature of the stones, the voids, and consolidations. Competent for the city of Paris and the neighbouring municipalities composing the Seine department, the Inspectorate General of the Quarries of the Seine became in 1968 the Inspectorate General of the Quarries of Paris, Hauts-de-Seine, Seine-Saint-Denis and Val de Marne, and is attached to the city of Paris. In 1967, the Prefect of Seine et Oise created a similar service on its territory, the Inspectorate General of the Careers of Yvelines, Essonne and Val d’Oise. The dataset, which covers the 1950s to 1980s, corresponds to two generations of plans: * Payment 1192W: plans produced by the general inspection of the Seine quarries in the 1950s and 1960s, they allow us to know the nature of the soil at the time of the creation of the department of Hauts-de-Seine (1968). Plans paid in 1992 and digitised in 2019. * 33W payment: plans produced by the general inspection of quarries (competent for Paris, Hauts-de-Seine, Seine-Saint-Denis and Val de Marne), which concern a new mapping of the basements in the 1970s and 1980s. Plans paid in 2007 and digitised in 2019 Each of the two generations of plans includes an assembly board. Each plan shall be identified by a code relating to that assembly plan, and shall also specify the municipality(s) concerned, as well as the mapped street or streets. Related data IGC – City of Paris General Career Inspection: all about subsoil

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for surveying and mapping in the U.S.