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within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or a
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Program. The research activities will focus on climate-driven input, transport, and fate of plastic debris in the Lake Ontario watershed and nearshore region. Job Responsibilities Applicants must hold a PhD
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that control the response to low oxygen conditions in Marchantia polymorpha. They will contribute both to the practical work with plants but also some bioinformatics work on protein structure and function
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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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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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the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree in Biology or related disciplines, preferably with experience in virology research
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photoreceptors and hair cells, and potential treatments. We utilize mouse models and various approaches in molecular and cellular biology, biochemistry, omics, bioinformatics, electrophysiology, behavior, and
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-term persistent infections, as well as on newly emerging variants of concern (VOCs). We are seeking a highly motivated candidate that has obtained (or will obtain soon) a PhD in a relevant subject (i.e
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and cellular biology, assist in sorting platform development, perform molecular and in vivo characterization of sorted cells, analyze large-scale bioinformatics datasets to identify novel cell subsets
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-term persistent infections, as well as on newly emerging variants of concern (VOCs). We are seeking a highly motivated candidate that has obtained (or will obtain soon) a PhD in a relevant subject (i.e