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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-APHIS-2025-0062 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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ability to write code in Python Experience working in a research team Excellent writing and communication skills, especially for academic papers Desirable criteria Experience working with NHS data or other
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with beneficial mortgages and good insurance schemes. Salary in position as Doctoral Research Fellow, position code 1017 in salary range NOK from 551 000 to 594 000, depending on competence and
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Pensjonskasse , which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes. Salary in position as Doctoral Research Fellow, position code 1017 in salary range NOK from 551
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with beneficial mortgages and good insurance schemes. Salary in position as Doctoral Research Fellow, position code 1017 in salary range NOK from 551 000 to 594 000, depending on competence and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
inferential statistics, and the creation of results tables and summaries. Conduct qualitative data analysis, including dataset preparation, coding, and development of thematic frameworks. Design and refine
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, writing, and fine-tuning code for structural model simulation, with a focus on computational performance. Most of the code will use the Julia programming language • Non-linear estimation and other
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experience with coding digital tasks for measuring cognitive performance in children and/or adults. A strong early career publication record in reputed refereed journals. Evidence of successfully obtaining
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Organization U.S. Department of Defense (DOD) Reference Code USAMRDC-MRIID-2025-0007 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description
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large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and