181 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" Fellowship positions at Harvard University
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Details Title Postdoctoral Fellow - Platform Lab at the Digital, Data, and Design Institute School Harvard Business School Department/Area Position Description The Platform Lab, led by Professors
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Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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will contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, computer science, biomechanics, or a related field. Additional
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for undergraduate and graduate students. Qualifications: 1. A Ph.D. in Neuroscience, Molecular Biology, Genetics, Computer Science, or other relevant scientific discipline is required. 2. Basic understanding
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Details Title Postdoctoral Fellow in Laboratory for Particle Physics and Cosmology School Faculty of Arts and Sciences Department/Area Physics Position Description The Laboratory for Particle
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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of Organismic and Evolutionary Biology, which is a vibrant community of cross-disciplinary biological scientists at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology
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Mathematics / Computer Science Position Description Professors Le Xie and Na Li in the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seek a motivated postdoctoral
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics, and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer science
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, lipidomics, transcriptomics, spatial biology, and associated metadata, often across time, dose, or perturbation conditions, to enable phenotype-driven prediction and insight. Developing AI models to address