62 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Yale University
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Computational Biology, Machine Learning and Deep Learning for Computational Biology, Computer Science, Applied Physics and Mathematics, or a related field. - Strong background in protein modeling, structural
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: the Yale Program for the Study of Global Antiquity. Archaia is a collaborative forum that brings together scholars and graduate students working on early and pre-modern cultures and civilizations at Yale in
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in academia, the private sector or government. QUALIFICATIONS: · MD, PhD, ScD, DrPH, MPH or MSc (required) · Proven analytical experience in population genetics, computational biology
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skills; access to social-emotional learning in school; and the role of emotionally supportive adult caregivers (parents, educators, coaches, and mentors). The postdoctoral associate’s primary
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Anticipated Appointment Dates: 7/1/2025 Email/Website: Wendy.agudo@yale.edu (Program Manager) https://medicine.yale.edu/psychiatry/research/clinics-and-programs/center-science-cannabis-cannabinoids
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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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, Japanese history (esp. early modern), historical geography, GIS, programming (esp. Python) and computer science, statistics and data science, text mining, natural language processing, demography, economics
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projects, there are ample opportunities to tailor the needs of the lab to the skillset and interests of the individual. Candidates with MD, PhD, or MD/PhD degrees and experience in a variety of molecular
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. Qualifications We are seeking candidates who meet the following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, data science, social sciences
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in preclinical PET/CT or PET/MR imaging and kinetic modeling. A PhD in biomedical engineering, physics, or a related field is required. However, interested candidates with a strong computational