72 parallel-processing-"SciLifeLab-"-"SciLifeLab-" Fellowship positions at Harvard University
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Details Title Postdoctoral Fellowship in Electrical and Computer Engineering School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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), the Department of Neuroscience (Harvard/Cambridge) and the Martinos Center for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon
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parallel screening platform to discover orthogonal protein binders. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing
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. Qualifications: Familiarity with machine learning interatomic potentials, CPU and GPU parallelization, knowledge of LAMMPS and molecular dynamics, experience with first principles calculations of dielectric and
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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parallel screening platform to discover orthogonal protein binders. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing
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process, programming, and health of fellowship community. Serves as chief contact for faculty for the purposes of fellowship programming, application process (selection committee), inquiries about fellows
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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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transform visual information, and how neuromodulatory state changes, including exposure to drugs of abuse, alter visual processing and visual behavior. We combine large-scale electrophysiology with controlled