965 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Nature Careers
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degree in data science, geography, environmental sciences, urban planning, computer science, design, or a related field Strong interest in sustainability, environmental systems, and spatial data Skills in
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of cortical neurons. We aim to understand how connections between different neuronal cell types are organized and how this organization enables the computations they perform. To do this, we combine approaches
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commitment to training graduate students, postdoctoral fellows, physicians, and undergraduates. Department faculty lead the PhD Program in Molecular Pharmacology, supported by an NIH T32 training grant now in
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collaboration partners Your Profile Academic degree (M.Sc. and Ph.D.) with a background in computer science, bioinformatics, physics, or a related field Proven experience in next-generation sequencing (NGS) data
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patient-derived xenografts and genetically engineered mouse models to inform better immunotherapies for treating high-risk neuroblastoma. Key Responsibilities Design and conduct experiments investigating
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mechanisms underlying cancer risk, tumor formation, and impacts on cancer treatment for patients with hereditary predisposition to cancer. This one-year program provides fellows with advanced training in
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-EM sample preparation, data collection, and high-resolution structure determination • Process and refine complex cryo-EM datasets using strong computational skills (RELION, cryoSPARC, etc.) • Conduct
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facilities led by expert scientists, coupled with cutting-edge technology, accelerates research productivity. Customized Professional and Career Growth: Experience specifically designed programs to enhance
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, emerging technology communities, and expert networks preferred. Experience driving research objectives across area through collaboration with internal and external stakeholders preferred. Proven performance
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program. The Oncology Clinical Coordinator Manager drives operational excellence by identifying and addressing inefficiencies, standardizing workflows, and leading continuous improvement initiatives related