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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 days ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (http://miaolab.org ) is looking for a highly motivated Postdoctoral fellow to work on accelerated molecular simulations and AI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Computational Medicine Program at the University of North Carolina – Chapel Hill (http://miaolab.org ) invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular
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consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and
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structural data, which requires laboratory based as well as on-site analyses. The main objectives are as follows: Compile legacy data of stained glass windows, this requires extensive data curation and
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force microscopy (AFM), advanced fluorescence and confocal microscopy, and quantitative biophysics. The project aims to elucidate how mechanical properties and forces emerge from molecular and structural
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that structural neglect through an interdisciplinary, participatory research program that combines empirical research, legal and policy analysis, and technology assessment. Grounded in a Theory of Change approach
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance
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http://www.ub.edu/caiac/solBeca?idConvocatoria=50433 Requirements Research FieldPharmacological sciencesEducation LevelPhD or equivalent Skills/Qualifications Degree in Pharmacy. PhD in pharmaceutical
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disciplines. We work on semantically structured data and interfaces, shared workflows, and contribute to engaging the growing ELM community in digitalized research. To coordinate and support the digitalization