863 engineering-computation-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United States
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related field by the time of hire Preferred Education: Some substantive coursework in soil science Required knowledge, skills and abilities: Good communication and computer skills. Ability to multi task and
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, Medicinal Chemistry, Bioengineering, and chemical engineering in hand by January 1, 2026. ● Relevant coursework in biochemistry, biomaterials, bioengineering. ● Experience in cell culture work
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motivated Postdoctoral Scholar to join a dynamic cardiovascular translational research program focused on mechanisms of atrial fibrillation, cardiometabolic disease, and precision medicine approaches
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
impact journal articles. Programming and Computing Skills: Ability to read, understand, explore and manipulate scientific data files (e.g., netCDF). Strong programming skills in a tool that allows
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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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, with an emphasis on Acute Myeloid Leukemia (AML). The successful candidate will apply advanced computational and statistical approaches to integrate and analyze multi-omics and single-cell datasets in
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primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This multidisciplinary program is focused on developing
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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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option for a second year) post-doctoral clinical fellowship. The program offers specialized training in the assessment and treatment of depression using evidence-based individual and group interventions
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multidisciplinary team, the candidate will work at the intersection of AI/ML, domain sciences, and high-performance computing. The role requires a strong foundation in LLMs and machine learning, along with