187 data-"https:" "https:" "https:" "https:" "https:" "https:" positions at Nature Careers in United States
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research. These new faculty positions represents part of a major research initiative by VT located at both our main medical center campus in Roanoke (https://hst.vt.edu/campus.html ) as well as our facility
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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. Application Instructions To apply, visit http://apply.interfolio.com/179278 . Application Instructions: Complete applications should include a cover letter, a curriculum vitae, contact information for at least
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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the department using the information provided in the Special Instructions section of this job posting. To apply, visit https://lsu.wd1.myworkdayjobs.com/en-US/LSU/job/Veterinary-Medicine/Department-Head-of
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://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion For more information about career opportunities in Springer Nature please visit https://springernature.wd3.myworkdayjobs.com
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or Biosketch Brief statement of research interests (<300 words) Contact information for three references Department website: https://icahn.mssm.edu/about/departments-offices/immunology-immunotherapy Laboratory
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on Genetics, Genomics, Data Science, Cancer Biology, Metabolism, Diabetes, Microbiome, Immunology, and related areas. Academic rank and compensation are dependent upon qualifications. These positions
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contact information for at least three references) by email to Prof. Joel Gelernter at joel.gelernter@yale.edu. More information about our work is available at the lab website, https://medicine.yale.edu/lab
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of interest include, but are not limited to: foundational AI models for genetic, multi-omic, imaging, and EHR data; multimodal AI approaches enabling precision diagnostics and therapeutics; and generative AI