21 machine-learning-phd-in-netherland Postdoctoral positions at University of Virginia
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postdoctoral researcher for pioneering research at the convergence of artificial intelligence (AI) and materials science. The ideal candidate should possess expertise in scientific machine learning (SciML
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to preventive interventions, decision support to implement mental health interventions, longitudinal data analysis, machine learning/NLP/AI, integrative data analysis, and related grant writing. This candidate
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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and healthcare and mentoring PhD students in the history of nursing and healthcare. The Postdoctoral Fellow will also collaborate with Bjoring Center faculty and staff to develop public history projects
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to bring to the lab. They will be expected to help teach other trainees rotating in the laboratory, including pulmonary and critical care fellows, medicine residents, PhD candidates, medical students, and
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trajectory coaching. In addition to the home department(s), the Postdoctoral Research Associate will primarily be associated with the Black Fantastic Media Research Lab. Responsibilities would include: Teach
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, Economics, or a related field, earned within the past six years Strong computational and statistical skills Experience with large-scale data analysis and machine learning Proficiency in scientific programming
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autoimmune diseases. QUALIFICATIONS Applicants must have PhD and/or MD (or equivalent) degree in hand by start date. Preferred applicants will have experience in immunology, metabolism, immunometabolism, and
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data