154 parallel-processing-bioinformatics-"https:" Fellowship research jobs at Harvard University
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Instructions Please submit the following materials through the ARIeS portal. The application review process will begin on MARCH 16, 2026 and will continue until the position is filled. 1. Cover letter. 2. Resume
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plasticity in the olfactory system. The olfactory tubercle is a ventral striatal brain region implicated in reward processing and motivated behaviors including addiction. Learning-induced changes in neural
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and non-compliance, analysis of heterogeneous effects and interference; Designing lab experiments, field experiments, and/or surveys; Programming/scripting knowledge suitable for processing raw data
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Electrical Engineering or any field with relevant skillsets will be considered. Currently, expertise in digital signal processing, nonlinear optics, local probe microscopy (STM), statistical physics and on
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Process: 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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Description Postdoctoral positions are available in Cengiz Pehlevan’s research group at Harvard University. Our group investigates how intelligence emerges from the collective dynamics of simple processing
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before the fellowship start date. Applicants with external funding are welcome to apply but must undergo the same review process. Additional Qualifications Special Instructions APPLICATION DEADLINE has
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of research At least one research paper (option to upload up to 3) Contact details of at least two references Candidates may be asked to undergo an assessment as part of the interview process. Special
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the following: Curriculum vitae Statement of research Two representative publications Two letters of recommendation Candidates may be asked to undergo an assessment as part of the interview process. Additional
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in