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collaborate with bioinformaticians, experimentalists and clinicians. About You Essential requirements for this post include a PhD in a relevant biological or computational subject and background in
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physics. Development of new artificial-intelligence and machine-learning techniques for high-energy and nuclear physics. Close interaction with our collaborators in the EIC and the BNL theory group will be
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 4 hours ago
-to-optical devices. Disseminate research in journal papers and at conferences. Fostering learning Provide scientific advice and mentoring to students. Attend relevant conferences and workshops to collect
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scientists, Research Fellows and PhDs in a vibrant research environment at UNU-MERIT and at partner organizations – UCL (Jack Stilgoe), CWTS at Leiden (Rodrigo Costas), Ingenio at CSIC-UPV (Ismael Rafols), and
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faculty and students are at the forefront of the high-tech start-up culture in New York City. The NYU Tandon School of Engineering is deeply committed to excellence in teaching and learning and fosters
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learning with the physics of laser–matter interaction. Your developments will be directly validated through multiple experimental runs on state-of-the-art laser processing equipment. You will work closely
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neurodegenerative diseases. The position is open to candidates with PhD degree and previous postdoctoral experience and offers the opportunity to work in an excellent team engaged in mouse models of disease
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Two fully-funded postdoctoral or PhD student positions in experimental mesoscale bioinspired materials, DNA nanoscience, and/or soft matter physics The university: Johannes Gutenberg University
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have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding of neuroimaging data to predict subjective
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling