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Position Location: Ithaca, New York 14853, United States of America [map ] Subject Areas: Agricultural and Resource Economics Education Business Management Agriculture Food Science Appl Deadline: 2026/04/13
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of visual and material culture history. Skills Essential: C1 Ability to communicate material of a specialist or highly technical nature and to be effective both orally and in writing at a level
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would be advantageous; Scientific curiosity, a high level of rigor and commitment to research of the highest standards are also important selection criteria; Digital skills (e.g., data visualization
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Machine Learning , Social Sciences , Biomedical Informatics , Causal Inference , Computational Social Science , Data Science and Information , Data Visualization , Deep Learning , High dimensional Data
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at The University of Texas at Dallas More Jobs from This Employer https://main.hercjobs.org/jobs/21973216/audio-visual-engineer Return to Search Results
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
, of August 28; IST Regulation of Scientific Research Fellowships, available on https://drh.tecnico.ulisboa.pt/files/sites/45/despacho_8532_regulamento_bolsas.pdf Workplace: The work will be developed
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, Educational Research, Data Science, or Information Systems), or an equivalent combination of education and experience. At least 3-5 years of progressively responsible experience in institutional research
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) Preparation of questionnaires and other data collection protocols visualization of geospatial data; d) Analysis of quantitative data; e) Participate in literature reviews; f) Participate in
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sources to populate SHADAC’s online data visualization tool: State Health Compare Conduct analysis using the National Health Interview Survey (NHIS) to examine differences in access to care and utilization
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Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. | Dortmund, Nordrhein Westfalen | Germany | 29 days ago
of existing methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular