96 phd-position-cloud-computing Postdoctoral positions at Stanford University in United-State
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collaboratively. Preference will be given to candidates who are currently completing the last year of their PhD or graduated from their PhD program in the past year. Required Application Materials: One-page
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position is available immediately in the Molecular Imaging Program at Stanford (MIPS). The successful candidates will join a dynamic research group focusing on the development of peptide-based therapeutics
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the resulting data from the experiments. Required Qualifications: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including
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degree (PhD, MD, or equivalent) or Master’s degree in a relevant field (e.g., Computer Science, Biomedical Engineering, Public Health, Surgery) Experience in clinical research, data analysis, or machine
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PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data engineering, and
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to Submit Application Materials: Please email applications to Dr. Anusha Kalbasi (akalbasi@stanford.edu (link sends e-mail) ). Does this position pay above the required minimum?: No. The expected base pay for
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Competitive salary and benefits Strong mentoring and career development support Required Qualifications: PhD in Neuroscience, Bioengineering, Electric Engineering, Computer Science, Physics, or a related field
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/SV_db7QwQtybbyfBNs (link is external) . Please submit attachments as PDF files. Timeline: Review of applications will begin on February 1, and will continue on a rolling basis until the position is filled. Those
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all application material to: https://forms.gle/Goi1LE52hYk9otMQ8 (link is external) Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in
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) Contribute to the development of grant proposals. Required Qualifications: Qualifications: PhD in Computational Biology, Biostatistics, Computer Science, Immunology, Molecular Biology, or a related field