436 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs at Nature Careers in United States
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of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs. To apply: https://facultypositions.stanford.edu/cw/en
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that challenge prevailing assumptions, employ cutting-edge technologies, or integrate machine learning with neurobiological data are especially welcomed. Projects focusing primarily on animal models with
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, high-reward science, including lab space at Arc Headquarters in Palo Alto. Candidates who aspire to groundbreaking research in computational science/machine learning, chemical biology, human genetics
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. Inquiries can be directed to Micro-Search@email.wustl.edu. https://microbiology.wustl.edu/
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professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring
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to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater
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attention to detail. This entry-level role is ideal for someone with prior undergraduate lab experience who is eager to learn and develop technical skills. The successful candidate will have some lab
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, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud
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, including the full position profile and to submit inquiries, nominations, referrals, and applications, please see the Isaacson, Miller website for the search: https://www.imsearch.com/open-searches/carnegie
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university setting, and the ability to teach, advise and direct students’ and postdoctoral fellows’ work. A preferred candidate will have a Ph.D. degree in a photonics-related area, demonstrated achievements