402 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Nature Careers in United States
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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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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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genuine investment in your long-term career development. Application details Please apply online: https://cemm.onlyfy.jobs/job/zn5hyw6c with a cover letter explaining your strengths and qualifications in
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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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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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a specific Faculty job opening as advertised, apply to Florida State University at https://hr.fsu.edu/facultyjobs . If you are a current FSU employee, apply via myFSU > Self Service. Applicants
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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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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Reporting to the Deputy Director for Integrated Security Missions, this executive
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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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profiling, and other cutting-edge, high-dimensional tissue analysis approaches to evaluate pancreatic cancer pathology using human tissue specimens Assemble analysis pipelines using machine learning