559 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at Nature Careers in United States
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. https://www.stjude.org/research/labs/hatley-lab.html @HatleyLab Minimum Experience: The ideal candidate should have just received their PhD or have less than one year of postdoctoral research. Experience
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' offices in the recruitment and retention of outstanding faculty. For information about POP, please visit https://academicaffairs.ucdavis.edu/partner-opportunities-program-pop . For information about the CRN
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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
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models for genetic, multi-omic, imaging, and EHR data; multimodal AI approaches enabling precision diagnostics and therapeutics; and generative AI for biomolecule engineering and design. AI researchers who
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in area(s) of expertise. Shares responsibility for committee and department assignments including administrative, supervisory, and other functions. CAMPUS SPECIFIC INFORMATION The CUNY Graduate Center
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financial support for conference attendance and travel. For more information about careers at the Flatiron Institute, please visit https://www.simonsfoundation.org/flatiron/careers/ ESSENTIAL FUNCTIONS
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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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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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the United States. https://www.utmb.edu/bmb/bmb/home The Department of Biochemistry and Molecular Biology at UTMB Health invites applications for multiple tenure-track positions at all ranks; assistant, associate
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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