63 programming-language-"St"-"St"-"FEMTO-ST" Postdoctoral positions at Stanford University
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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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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 and
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to develop AI and machine learning based software to assist clinical workflow and pre-clinical studies. Required Qualifications: Ph.D. in a physical science or engineering field Strong programming background
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, particularly in data analysis Experience with statistical analysis (e.g., SPSS, MATLAB) and programming (e.g., R, MATLAB, Python) Experience with fMRI data collection and analysis (e.g., FSL, SPM) Required
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research experience. • Strong coding skills in R, Stata, or other statistical software package. • Good communication skills in English. Required Application Materials: CV (no cover letter or letters of
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independent research, with a record of peer-reviewed publications or working papers in relevant fields. Communication and Collaboration: Excellent verbal and written English language skills to facilitate
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knowledge in bioinformatics, machine learning, statistics and programming skills (R, Python, or MATLAB) are required. Record of peer-reviewed publications. Knowledge in one or more of the following areas is
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/mcp.html (link is external) ) offers a world-class scientific environment and supports postdoctoral scholars throughout their postdoc with mentoring and training programs, seminar series, and annual retreats
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structural imaging (tractography, voxel-based morphometry, etc.) Experience working in the area of motor control and cognition Comfortable analyzing data in Matlab, Python, or similar languages Ability to work
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the effectiveness of new and innovative programs, to learn about features of programs that drive effective, to better understand the challenges to implementation and how to overcome those challenges