81 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" Fellowship positions at Nature Careers
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interest in methods development Experience in one or more of the following areas: algorithms development, transcriptome analysis, RNA modifications, statistics, machine learning, long read RNA-Sequencing
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visit here . As a successful candidate you will: · Focus on metabolic regulations of cardiovascular disease under cancer treatment and metabolic syndrome · Utilize multiple cutting-edge
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and deploy the most promising prototypes at multiple field sites around the world via our global collaborator network. An important part of the work will be publishing high quality research papers in
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conduct laboratory-based research focusing on multiple myeloma and its precursor conditions. Based on the mission of the lab, the successful candidate will be responsible for identifying novel biomarkers
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clear data presentation, ability to work efficiently in a team and with collaborators Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage Previous
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and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical
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for Pulmonary and Vascular Biology at UT Southwestern Medical Center (Dallas TX, USA) is seeking two self-motivated postdoctoral fellows to join the team to lead multiple NIH-funded projects. The Shaul-Mineo Lab
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funding Develop and make contributions to knowledge transfer, enterprise, business engagement, or similar activities at Department/School level or further within the University Main Duties
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this role you need to be able to show a body of research outputs and the level of thought leadership and development towards independence required to be competitive as a future research leader. In this role
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join our team in developing innovative CAR-T cell therapies for colorectal cancer. Our lab focuses on engineering immune cells with greater precision, persistence, and safety, using synthetic biology