406 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in United States
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process. CVs with cover letters should be submitted on the Yale Interfolio website: https://apply.interfolio.com/179422. Please direct all inquiries, nominations, and referrals to the Isaacson, Miller
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within the Division and Department. Submit curriculum vitae, including bibliography and names with addresses of two references to the online application. Apply for this position online at: http
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visiting https://rodriguezlab.yale.edu/ About the Postdoctoral Scientist role: This role is an ideal fit for an intellectually curious, creative, and driven scientist ready to gain further professional
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at the CCA include: Astronomical Data, Stars & Plasma Astrophysics, Galaxy Formation, Gravitational Wave Astronomy, Cosmology, Machine Learning & Astrophysics, Exoplanets & Planet Formation, Astronomical
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area can be found on the UTMB Living Website: http://www.utmb.edu/utmbliving/ Interested Candidates please send a Cover Letter and current Curriculum Vitae (CV) to Skott Harrington - saharrin@utmb.edu
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. Applications will be accepted at: https://apply.interfolio.com/179113 Salary Range: $200,000 - $200,000 Annual Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a
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be viewed online at the University Police website at http://www.stonybrook.edu/police . Stony Brook University is committed to excellence in diversity and the creation of an inclusive learning, and
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modelling, stem cell biology (animal-/humanderived tissues), micro-physiological systems (MPS), organ-on-chip, zoonotic diseases, drug/vaccine testing and validation for zoonotic diseases, machine learning in
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time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local
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visually-guided decision-making in the fruit fly, Drosophila melanogaster . More information about Dr. Card and the lab’s research can be found by visiting https://www.hhmi.org/scientists/gwyneth-card About