178 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "Dr" "P" Fellowship positions at Harvard University
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recordings, (2) whole cell recordings in brain slice, (3) optical recordings in brain slice or in vivo (2-photon rigs are available), and (4) programming. The successful candidate will work with Dr. Regehr
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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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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI) School Harvard Medical School Department/Area Biomedical Informatics-Quad Position Description The Department of Biomedical
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics School Harvard Medical School Department/Area Position Description The Farhat Lab in the Department of Biomedical Informatics is
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Director of LISH (Dr. Ramona Pop). The position involves conducting rigorous empirical research using field experiments, large-scale data analysis, and computational methods to advance our understanding
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. As part of this program MCHB and HSPH are committed to establish a tenure track position in MCH during the 5-year funding period. Possible mentors include Drs. David Williams and Margaret McConnell
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Laboratory directed by Dr. Capellini and located in the Peabody Museum on Harvard University’s Cambridge, Massachusetts campus. The lab’s website is: http://projects.iq.harvard.edu/evolutionary_genetics/home
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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
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Postdoctoral Fellow in the Evolutionary and Developmental Genetics Laboratory of Dr. Terence D. Capellini. The focus of the position will be to study the genetic and developmental basis of human-specific
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transform visual information. We use large-scale electrophysiology and closed-loop visual experiments with macaque monkeys to discover the principles underlying cortical computation. We are seeking highly