60 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Yale University
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specializing in modern Chinese history; at least half of the candidate’s dissertation must concern post-1911 China. The successful candidate will be expected to teach one or two courses depending on the needs
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independent research. The successful candidate will work in a team of fellow trainees in the lab. Learn more about the Tang lab at https://www.steventanglab.com. The Tang lab is committed to training
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teamwork and discussion and help to train, supervise and mentor junior staff as needed. Minimum qualifications include: PhD in a relevant field (biology, immunology, cancer biology or similar) Demonstrated
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independently and collaboratively, desiring to develop and/or adapt novel approaches in biochemistry, molecules and genetics, and PhD in Neuroscience and related disciplines. However, auditory and hearing
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. This position offers an excellent opportunity to contribute to clinical diagnostics and translational research in the field of andrology. Qualifications: PhD in Andrology, Reproductive Biology, Molecular Biology
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. The candidate is expected to work in theoretical condensed matter, quantum information science and related fields (e.g. correlated systems, light-matter interactions, non-equilibrium dynamics, quantum simulation
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development reviews, leadership and entrepreneurship training, collaborative training opportunities, and networking and conferences. Qualifications: PhD in Molecular Biology, RNA Biology, Biophysics, or a
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at international conferences. For more information visit our lab webpage: https://www.thealonlab.org Qualifications: Candidates must have a PhD degree or equivalent in biological sciences with not more than 1 year
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publishable manuscript; provide one lecture as part of the CEAS Postdoctoral Associates Lecture Series; and teach one undergraduate course. Application Instructions To apply, please submit cover letter, CV
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, microvascular function, cognition, or COVID-19. Candidates with advanced quantitative data analytic skills, including computational modeling, are particularly encouraged to apply. Familiarity with medical