408 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at Nature Careers in United States
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positions in the area of Artificial Intelligence (AI) and Machine Learning (ML) in Drug Discovery. This is a unique cluster hire initiative spanning the College of Pharmacy, Life Sciences Institute (LSI), and
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Lab at Princeton University aims to recruit a postdoctoral fellow or more senior research position to work on projects related to the development of AI/machine learning approaches for chemical and
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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image processing, disease detection, diagnosis, and therapeutic monitoring. The program addresses critical regulatory challenges posed by AI devices that can continuously learn and adapt, including
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scales. We encourage the use of theory and computation as well as experiment, and welcome applicants who use machine-learning and artificial intelligence methods to enhance their research programs. We
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scales. We encourage the use of theory and computation as well as experiment, and welcome applicants who use machine-learning and artificial intelligence methods to enhance their research programs. We
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in dynamical systems modeling (ODEs) and machine learning and very strong programming skills (Java, Python). A background in evolutionary genomics research is a strong plus, as is previous experience
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: https://obgyn.uchicago.edu/research/griffith-laboratory Required Qualifications: Qualifications needed for this position include a PhD in clinical psychology or a related field, such as psychology
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. degree and should possess good communication skills. Visit our lab website at: https://med.virginia.edu/le-lab/ Read our publications at: https://med.virginia.edu/le-lab/publications/ Interested candidates
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diseases, Genome Biology, 2024 S. Hudaiberdiev et al., Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits, PNAS, 2023 S. Li et