52 phd-position-in-computer-vision Postdoctoral positions at Baylor College of Medicine
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identify new strategies for preventing and treating infections. Candidates should have a strong background in computational biology, microbiology wet lab skills, and a collaborative mindset. The position
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Schedule: Summary A postdoctoral position is immediately available in Dr. Weei-Chin Lin’s lab at the Departments of Medicine (Hematology and Oncology) and Molecular and Cellular Biology, Baylor College
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PhD in Computational Biology, Genomics, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in applying or developing computational methods
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treatment conditions in this randomized clinical trial. This position provides the associate with opportunities to 1) refine clinical skills with evidence-based treatments, such as Exposure-Based Therapy and
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therapeutic strategies. Our research program is highly collaborative and integrative, using cutting-edge experimental approaches involving cell culture system, primary cell and organoid cultures, ex vivo models
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Schedule: See Job Posting Summary Postdoctoral Associates are trainees working in an apprenticeship capacity in preparation for a career as a scientific professional. The person hired for this position will
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organizational skills. Ability to collaborate across disciplines and institutions and participate on large research teams, while working independently. Ability to display a professional, positive attitude with
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-cell multi-omics, and stem cell models to advance precision medicine. We place a particular emphasis on understanding mechanisms of neurodevelopmental disorders and other brain illnesses to identify more
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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, statistics, and/or computer science. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets for clinical research, focusing on malignancies including breast and lung