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, lipid vesicles, polymer physics, active materials, single molecule biophysics, biomaterials, materials chemistry, fluid mechanics, rheology, and computational modeling. Candidates should apply at https
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, combines advanced system neuroscience and computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models
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The Princeton University WET LAB (https://ren.princeton.edu/) is seeking a postdoctoral research associate(s) or more senior researcher(s) with expertise and interest in Large Language Models (LLM
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; biogeochemical cycles; molecular geochemistry; biodiversity; conservation; environmental science and policy; infectious disease and global health; and sustainable development in impoverished and resource
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: 272540346 Position: Postdoctoral Research Associate Description: The Department of Molecular Biology at Princeton University currently has research positions available at the postdoctoral and more senior
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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, molecular biology, biochemistry, synthetic biology or equivalent. *Effective communication skills *Exceptional organizational skills and attention to detail *Expertise or interest in learning microbial
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, molecular biology, microbiology, biochemistry, biophysics, computational modeling or related fields. Experience in metabolic engineering, synthetic biology, yeast genetics, or control theory is a plus but not
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treatment of cancer. We welcome highly motivated candidates who have or expect to have a Ph.D. degree in the fields of molecular cell biology, cancer biology, chemical biology, biochemistry, cancer genomics
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, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with optimization (theory, modeling, and tools