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. Applicants should hold a PhD in Computational Biology, AI/ML, Computer Science, Population Genetics, Bioinformatics, or a related field, and have fewer than five years of postdoctoral experience. Strong
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silicon-containing building blocks with the opportunity to carry out high-throughput experimentation. Candidates should have or expect to obtain a PhD or equivalent qualification in synthetic chemistry or a
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University of California Riverside School of Medicine | Riverside, California | United States | 4 days ago
methods in our research, with the goal of developing new therapies. The laboratory is currently supported by multiple grants from NIH to support these projects. Learn more about our research program by
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and able to manage your priorities. 🎓 We are looking for people with a PhD in machine learning, deep learning, data science, computer science, obtained less than 3 years before the date of hire, with a
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predictive control of carbon mineralisation through high-throughput mineralogy and machine learning.” This is an exciting opportunity to contribute to innovative research at the interface of mineralogy
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computational approaches to chart and understand the gene regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational
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. The appointee is expected to reside in the Helsinki Metropolitan Area during the employment. QUALIFICATIONS AND EVALUATION Applicants are required to hold a PhD in a relevant field, such as memory studies
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) and will teach one course per semester in the Department of Anthropology’s terminal Master’s (MAO) Program and work with the Director of the MAO Program. Successful candidates must have their PhD by
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze