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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 20 hours ago
Role Overview: We are seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution
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conducts applied and theoretical research on the economics and politics of sustainable development, as well as the policies to achieve it. More information at: https://www.epfl.ch/labs/pasu/ . We are looking
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development aspects of the project, working closely with other HCI researchers and leading the development aspects of the work. The role includes working closely with end users, leading the development of novel
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Familiarity with research computing, virtual server solutions and software development Ability to communicate technical or clinical research concepts clearly to academic and non-academic audiences What we offer
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new molecular targets, GPCR-like receptors, cellular signaling, and the development of new therapeutic strategies against Plasmodium falciparum. Mandatory requirements: Knowledge and experience with
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, The Ohio State University, and other national and international institutions. The scholar will receive mentorship in project development, manuscript preparation, scientific presentations, grant writing, and
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systems. The Postdoctoral Appointee will contribute to the development, manufacturing, characterization, and evaluation of additively and conventionally manufactured structural alloys. The position will
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services across multiple companies and authorities, thus supporting large virtual enterprises necessary for the development and operation of large-scale enterprises, such as critical infrastructures
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Are you excited about research at the intersection of genomics and data science? We are looking for a researcher to join our team and contribute to advancing our understanding of genome evolution
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this process contributes to the development of multiple sclerosis, and potentially to exploit the findings for therapeutic applications. Experimental methods include molecular and cell biology, flow cytometry