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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
Education & Experience: PhD in Computer Science, Visualization, Cartography, Geographic Information Science, or a closely related field. Strong background in visualization, computer graphics, or perceptual
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populations during perturbations, as well as dissecting genotype-phenotype relationships in emerging mutants. Your qualifications You should have a PhD in microbiology, population genetics or molecular biology
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imaging data as well as new paradigms for characterizing mouse social and vocal behaviors. The role of the Postdoctoral fellow She/he will analyze genetic data from different groups of individuals with
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to make a difference. If this sounds like you, you’ve come to the right place! Responsibilities: Conduct original research on joint communications and radar sensing for spaceborne systems, with a focus on
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collection instruments and procedures; organize, and implement cancer patient database; conduct different clinical and basic research projects; analyze data; complete literature reviews; collaborate on reports
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from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do outstanding
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these effects in different solvents with molecules of different types: organic or inorganic, structure chirality or atropoisomeria. Main activities: This project is based on Optical Raman Activity (OAR
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to this amount is voluntary social security corresponding to the first tier, if the candidate chooses to receive it, as well as personal accident insurance. Eligibility criteria: Admission requirements a1. A PhD
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of different ecological and evolutionary processes shaping complex host-microbiome systems. - Comparing theoretical predictions with data from host-microbiome systems, in particular from marine environments
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operational practices • Systematically exploring different formulations of mixed-integer constraints in grid optimisation problems • Developing machine learning models to accelerate mixed-integer