497 computing-"https:"-"https:"-"https:"-"BioData" Fellowship positions in United States
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Bioinformatics Core and Office of AI Research, with opportunities for all fellows to develop their own computational skills). Experimental validation – evaluating RNA drug candidates using cell-based assays
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flexibility, investment and planning under uncertainty, and the macroeconomic and policy implications of energy system transformation. Fellows will engage in rigorous empirical, computational, and theoretical
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that: they are able to be in residence at Harvard, all other aspects of their PhD program are complete, and their degree is expected in the 2026 calendar year. The Award The fellowship consists of annual stipend
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Postdoctoral Fellowship program offers comprehensive research, training and professional development opportunities for scholars advancing their careers in political science. Fellows pursue their research with
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Center Postdoctoral Fellowship program offers comprehensive research, training and professional development opportunities for scholars advancing their careers in history. Fellows pursue their research with
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has no direct supervision of staff employees. QUALIFICATIONS Education/Experience: Bachelor's degree in science and 0 to 1 year of experience or Associate's degree in an approved biotechnology program
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Education Doctoral degree (Ph.D. or Psy.D.) in clinical or counseling psychology from an APA approved program. Minimum Experience Successful completion of an APA-accredited doctoral internship program
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and bioinformatics The first year of the program combines taught courses with laboratory rotations to broaden the student’s knowledge of the subject area. At the end of the first year, students will
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. Analyze and interpret data using appropriate computational/statistical approaches; maintain reproducible workflows and clear documentation. Write manuscripts and present findings; contribute to grants
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advancing understanding and treatment of pediatric cancer. Dr. Brian Crompton’s lab is an interdisciplinary team with both computational and wet bench scientists that utilize omics (e.g. genomic, epigenomic