399 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in United States
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(https://irp.drugabuse.gov/staff-members/da-ting-lin/ ) Note: This position is open to both U.S. and non-U.S. citizens. Selection for this position will be based solely on merit, with no discrimination
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on our provider recruitment site: https://dhproviders.org/ Or, candidates can contact Carrie Moore, DBA – Executive Recruiter Carrie.E.Moore@Hitchcock.org * These positions will remain posted until filled
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The Department of Physiology at the University of Tennessee Health Science Center (UTHSC) (https://www.uthsc.edu/physiology/ ) invites applications and nominations for a tenure-track Associate
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imaging resources (e.g., MRI, fMRI, DTI, MRS, fNIRS, PET). Learn more about the Department at https://www.stjude.org/research/departments/psychology.html . Candidates must have a doctoral degree in an
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of novel probabilistic deep-learning models that automatically extract mechanistic and statistical knowledge from your in vivo perturbational omics data. This interdisciplinary atmosphere has been a main
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Instructions Applications are submitted via Interfolio at https://apply.interfolio.com/181869 and should include a curriculum vitae, cover letter, research statement (1 page summarizing past work and 2 pages
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ambitious, and the opportunity for collaboration with students as well as colleagues is real and constant. For more information on the department, see: https://www.swarthmore.edu/chemistry-biochemistry
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bibliography and names with addresses of two references to the online application. Apply for this position online at: http://apply.interfolio.com/177044 Clinician-Educator Track - Clinical responsibilities
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy
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International University (https://biology.fiu.edu) invites qualified candidates to apply for an Open Rank (Assistant, Associate, or Full Professor) position. Scientists addressing groundbreaking questions