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of Radiation Oncology at Stanford University, is seeking an exceptional individual to join the team and contribute to groundbreaking research in computational oncology. We are dedicated to unravelling
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strong background in one or more of the following areas: computational biology, genomics, biochemistry, or neuroscience. A strong publication record demonstrating expertise in the relevant field. Team
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Posted on Fri, 05/02/2025 - 09:09 Important Info Deprecated / Faculty Sponsor (Last, First Name): Vezeridis, Alexander Stanford Departments and Centers: Radiology Postdoc Appointment Term: 1 year, with the possibility of renewal Appointment Start Date: ASAP Group or Departmental...
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in Neuroscience, Biomedical Engineering, Computational Biology, or a related field. Strong background in signal processing, including neuroimaging and/or electrophysiology (EEG, MEG) data analysis
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effective immunotherapeutic targets. Finally, we plan on continuing the path to clinical translation with further preclinical research (proteasome manipulation and optimization studies, bioinformatics
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Computational Spatial Biology We are seeking a postdoctoral fellow in computational spatial biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford
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principals to problem solve work. ● Ability to maintain detailed records of experiments and outcomes. ● Ability to quickly learn and master computer programs, databases, and scientific applications
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, such as electronic health records and genomic data, to provide actionable insights to clinicians, researchers, and patients. The lab bridges computer science and medicine through affiliations with
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the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. The Mechanics and Computation Group (Department of Mechanical Engineering, Stanford University) is seeking applicants for the Stephen Timoshenko
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productivity, and the ability to work both independently and collaboratively in a multidisciplinary environment (involving clinicians, computer scientists, and statisticians). A strong background in