11 Phd "University of York" research jobs at Cold Spring Harbor Laboratory in United States
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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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collaboration with the Borniger Lab at CSHL studying brain body communication in cancer (see PMID 31174326). Position Requirements The successful candidate will have a PhD in Neuroscience, and extensive expertise
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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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completing or have recently completed a PhD degree with research experience in cancer biology and/or immunology. Experience/Skills: The candidate must have a deep understanding of the requirement to test
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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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researchers with a variety of backgrounds and believe in the importance of diversity, equity, and inclusion. Position Requirements Education: PhD in Molecular Hematology, Molecular Biology, Cancer Research
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scientific discoveries. PhD candidates expecting to complete by 2024 are encouraged to apply. Candidates with expertise in organic synthesis, peptide/ natural product/macrocycle chemistry, or chemical biology
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of neural circuitry across rodent species to bridge this knowledge-gap. Position Requirements Candidates must hold a PhD degree (or equivalent) in neuroscience, biomedical engineering or a related field. The
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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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of diversity, equity, and inclusion. Position Requirements Applicants are expected to have a PhD in Physics, Mathematics, Computer Science or a related quantitative discipline. Ideal candidates from