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experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory
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pretraining of clinical foundation models and clinical alignment techniques. Co-supervise PhD and Master's students in the group, and assist in teaching activities. Lead project deliverables and actively
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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Qualifications: PhD in a relevant field is required; relevant fields include but are not limited to epidemiology, statistics, biostatistics, machine learning, data science, or other quantitative fields. Required
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Post Docs - Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
interaction with IRMII’s more than 40 industry partners. Minimum Education and Experience Requirements PhD in a relevant field in the areas of engineering, natural sciences, finance, economics, data science or
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should meet the following qualifications and possess relevant expertise: A PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field, with a strong experimental research
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of academic success for a Post-Doctoral Associate position. The research will focus on the development and use of machine learning and advanced molecular dynamics techniques for molecular simulations and to
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domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
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. Postdoctoral Associate – Translational Microbiome and Critical Care Research The Duke Anesthesiology Microbiome Profiling (AMP) Laboratory (https://anesthesiology.duke.edu/research/serbanescu-lab) under Dr