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Field
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University of California, San Francisco | San Francisco, California | United States | about 23 hours ago
microscopes including spinning disk and TIRF microscopes Preferred Qualifications PhD in Quantitative Biology or Biophysics or related field Experience with integrating software (particularly micromanager) and
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/or PhD degree(s) Relevant postdoctoral or clinical experience Over 10 years of experience in applying and leading computational biology approches Significant experience and outstanding, record
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Qualifications Experience teaching biology in higher education settings. PhD in relevant field Required Application Materials CV including education background / qualifications, a list of publications, teaching
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Lab. This position reports to Matthew Hilton, PhD, Associate Professor in Orthopaedic and Associate Professor in Cell Biology. Work Performed Manage daily operation of a dynamic group of 10 researchers
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Senior Scientific Officer to work alongside our teams, delivering preclinical PET/MRI imaging projects in our state-of-the-art facility. A degree in Biology (or similar) is required. A PhD (or equivalent
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Biology, or a closely related field. Strong experience in assay development, especially ELISA-based and flow cytometry-based assays, PCR, and qPCR. Previous experience in Systematic Evolution of Ligands by
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criteria PhD in Computational Biology, Bioinformatics, Computer Science, or a closely related field with a strong focus on machine learning and deep learning applications. Demonstrable experience in
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will need: Explicitly address each selection criteria PhD in Computational Biology, Bioinformatics, Computer Science, or a closely related field with a strong focus on machine learning and deep learning
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. Adam Mor, MD, PhD, is the Herbert Irving Associate Professor of Medicine in the Division of Rheumatology at Columbia University's Vagelos College of Physicians and Surgeons. He heads the Mor Lab in
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, probability, optimal control, ordinary, partial, and stochastic differential equations, and dynamical systems; and applications of mathematics to biology, finance, and industrial problems. Annual research