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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology
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master's degree (or equivalent) and PhD in Mathematics/Statistics/Data Science Research expertise in the analysis of complex systems Familiar with network analysis, concepts of resilience (e.g. adaptive
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Recruitment Seek PhDs skilled in data mining, AI, nano-optics, and protein-structure analysis Preference for candidates with multi-disciplinary or industry–academia–research collaboration experience Development
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validations. What we are looking for PhD (or MSc with research experience) in AI, CS, Bio-engineering, or Bioinformatics. You have experience with applying AI technologies in (regulatory) genomics, as
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will advance our understanding of the next-generation colloidal systems. Your profile Applicants should hold a PhD in organic or polymer chemistry, or similar. You have extensive experience in organic
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responses to cancer therapies in human induced pluripotent stem cells) data for elucidating molecular mechanisms for health outcomes; and 3) evaluating health disparities through pharmacogenomics
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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phage application strategies and contribute to publications and conference presentations Engage actively in team meetings and the interdisciplinary PHAGE-PRO network Your profile PhD in life sciences
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. You will work very closely together with your dry-lab colleagues for the design of synthetic promoters and data analysis. What we are looking for PhD in (Plant) Biotechnology, Molecular Biology