1,078 data-"https:"-"https:"-"https:"-"https:"-"Academia-Sinica" Postdoctoral positions in United States
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and technologies, and in advancing data-driven risk monitoring approaches for supply chain resilience. The candidate will conduct comprehensive supply chain mapping, modeling, and analysis—integrating
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biochemical analysis through kinase assay, Western Blotting etc. Data analysis and participate in manuscript writing for publication; may assist in grant writing. * Perform other duties as assigned such as
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Public
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contact information of at least 2 references The priority deadline is March 31, 2026, but all applications will be considered until the position is filled. Questions about the position can be addressed
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
. Responsibilities would involve close interaction with staff at IRFM, MIT and PPPL, including performing data analysis and interpretation for multiple transport-related topics, writing papers and making presentations
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contact information of 2-3 references to: Bin Zhang M.D. Ph.D. Joanna Dobe Professor of Cancer Immunology; Robert H. Lurie Comprehensive Cancer Center; Northwestern University Feinberg School of Medicine
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for structure determination is a must. Experience with remote collection of data from advanced photon sources is required. Desired Skills : Candidates with experience in any of these areas would also receive
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Instructions Interested candidates should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling basis until
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science