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Field
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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field of electronic circuits and systems. Job requirements Essential Requirements: MSc degree in Electrical / Electronic / Computer Engineering, or a closely related field. Solid background in digital IC
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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memories and how these processes are influenced by addictive substances. You will use state-of-the-art in vivo two-photon imaging and electrophysiology to record neuronal activity in rodents performing
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engineering (focusing on deep learning for computer vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine
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! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined
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Optimization (DPO) and reinforcement learning from human feedback, building preference datasets together with clinicians - Build and run a Red Team process with physicians, computer scientists, and patient
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imaging of energy storage materials, with the focus on detection of light elements and monitoring of electrochemical processes. The research will be conducted primarily at the accelerator facility
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Process Engineering is one of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/295766/phd-position-in-experimen… Requirements Research