364 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at Nature Careers
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Screening Process: Deadline for application: May 17, 2026, 23:59 (JST) Document Screening: Late June to Late September 2026 Interview: December 5, 2026 Other Details: Please visit our website (https
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Learning III. Knowledge Exchange and Services IV. Research (basic science, translational and/or clinical research) Preference will be given to those with demonstrated administrative contributions and
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. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required
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and a true passion for cutting-edge bench-to-bedside research are encouraged to apply and provide three professional references. LEARNING OBJECTIVES Trainees will perform basic and translational
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, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more please visit: https://jobs.utsouthwestern.edu
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information, please visit our website: https://ekfs.de/en/current-topics/call-for-proposals/else-kroner-excellence-grants-2026
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analysis or habitat monitoring Highly valued: Experience applying AI or machine learning methods to remote sensing data Experience with drone-based point cloud collection Experience working with or advising
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), combining state-of-the-art in vivo approaches with quantitative data analysis. About the lab and environment The Rebola Lab (https://therebolalab.org ) studies how variability in synaptic function across
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Molecular Mechanisms and Translational Cancer Research A postdoctoral fellow position is available in the Brugarolas lab (https://brugarolaslab.com/research-summary/ ) Research in the lab spans
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and names and addresses of three referees and be send by e-mail until April 11st 2026 to Prof. Christoph Wilhelm (christoph.wilhelm@uni-bonn.de ). Webpage: https://www.ukbonn.de/en/icccp/research