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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
prepare leaders and innovators to solve the world’s most pressing health care challenges. We are Advancing Medicine for Life through innovation and collaboration in pharmacy practice, education, research
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to identify potential therapeutic candidates. Applying computational structural tools to model target structures, map binding pockets, and integrate structural insights with laboratory assays. Designing and
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within this urban context. Key Enabling Methodologies (KEMs), a collective term for groups of tools, strategies, and design methods used by researchers, policymakers, and professionals, can help to
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will help lead efforts to design and manage online surveys, data collection, analysis, and coordinate with partner organizations. The incumbent will be working with Montreal Mobility survey data
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the individual choice budget. Plenty of opportunities for education, training and courses. Partially paid parental leave Attention for working healthy and energetically with the vitality program. Will you need
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internship? The NNSA's Tribal Education Partnership Program (TEPP) is designed to promote the education and development of the next generation of technical and skilled professionals ready to meet mission
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, its comparative data analysis, and the ROUTES Atlas co-development. You will help design standardized metrics, indicators, and data collection protocols to assess the short-, medium-, and long-term
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leave plans Onsite childcare (Ames, Iowa) Life insurance and long-term disability Flexible Spending Accounts Various voluntary benefits and discounts Employee Assistance Program Wellbeing program Iowa
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Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We
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project of the VUB, introduces a new research framework that treats archaeological prospection as a sequential decision-making process explored through computational simulation and deep multi-objective