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for outstanding candidates for computational postdoctoral positions broadly interested in using machine learning, computational neuroscience and computational biology. The position is open under specific projects
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completed PhD and postdoc training in biomedical sciences, preferably in cancer biology, stem cell biology, epigenetics, metabolism, microbiome and/or immunology. We are looking for an experienced and highly
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candidate should have experience in mammalian cell culture and molecular biology techniques. In addition, the candidate should have strong organizational skills and experience in using and maintaining data
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for success: Strong scientific background in any of the areas consistent with CSHL research (cancer biology, genomics, neuroscience); Assimilates and applies job-related information; puts new knowledge
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partner institutions. Position Requirements Education: The successful candidate has a PhD or equivalent title, obtained within the last 2 years (or in the process of obtaining it). Skills/Experience: Hands
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include: – providing hands-on genetics and molecular biology instruction to precollege students visiting the DNALC for academic year field trips, summer camps, and extended research projects; – delivering
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are embedded in the Westcott Laboratory. Position Requirements The successful candidate should have a PhD in the fields of Cancer, Genetics, Immunology, Computational Biology, or related field, with extensive
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information. Position Requirements Candidates must have (or soon receive) a PhD in Biology, Biochemistry, Computational Biology, Biophysics, Bioengineering, or related discipline. Candidates must also have one
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or be nearing completion of a PhD degree in STEM (science, technology, engineering, or mathematics) and have research experience in neuroscience or relevant fields of biology and bioengineering. We
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development, as well as data security requirements and implementations. Position Requirements EDUCATION: Master’s in life sciences, quantitative sciences or related fields, PhD preferred. EXPERIENCE: Minimum