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learning, and signal processing applied to conduct high quality research with a particular focus on neuropsychiatric and cardiovascular diseases. Working in a large team of 15 PhD students, several postdocs
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Range Based on Post Doctoral Experience Type of Position Temporary Position Time Status Full-Time Required Education PhD in statistics, biostatistics, epidemiology, bioinformatics, data science, computer
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: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in biostatistics, statistics, or related field Experience using R and/or Python to carry out data analysis
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
biology, psychology and neuropsychology, neuroscience, exercise physiology, oncology, pharmacology, radiology, surgery and biostatistics. St. Jude leads two of the world's largest pediatric survivorship
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write manuscripts and present research work at scientific conferences. Credentials and Qualifications: PhD in Biostatistics/Bioinformatics, Data Science, Computer Science, Genetics or related field
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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. Occupational Summary The Department of Neurology seeks a Post-Doctoral Fellow to work in the Vascular Neurology division on clinical research at the interface of causal inference, econometrics, biostatistics