216 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"O.P" Postdoctoral positions at Nature Careers
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programs within the Institute for Stem Cell and Regenerative Medicine, the Department of Genetics, Einstein Cancer Center and throughout the school. These include weekly journal clubs, work-in-progress
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of transitioning to a permanent research role Freedom to develop independent ideas within a clear and ambitious research program Strong institutional and grant support Access to advanced technologies: cryo-EM
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Hospital. It hosts the residency and PhD programs of Humanitas University , a life science university that stands out for its real-world simulation-based approach to medical training and its international
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specifically designed programs to enhance professional growth and career readiness empowering postdocs for success beyond their training. This includes access to grant writing workshops, individual development
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facilities led by expert scientists, coupled with cutting-edge technology, accelerates research productivity. Customized Professional and Career Growth: Experience specifically designed programs to enhance
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with cutting-edge technology, accelerates research productivity. Customized Professional and Career Growth: Experience specifically designed programs to enhance professional growth and career readiness
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Group Leaders and Postdoctoral Researchers: Global Call for Scientific Talent at Fondazione Telethon
, high-impact questions. We are looking for scientists who are eager to relocate to Italy and lead or contribute to cutting-edge research programs with strong translational potential, working in
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low-level programming (C# and possibly C++) languages An ability to collaborate within teams and across disciplines An ability to take initiative, develop and manage research activities An ability
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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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, physics, mathematics, computer science, or related fields Demonstrated hands-on experience with machine learning techniques Strong programming skills (Python preferred) Experience analyzing time-series data