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, consent 30% - MRI Data Collection and Data Analysis 15% - MR Image Evaluation and Annotation 15%-Conference Abstract and Manuscript Preparation Required Qualifications* Applicants should have a PhD
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coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Working alongside with wet-bench scientists and PhD candidate (both with and without computational experience
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particular sequential, multiple assignment, and randomized trial design. You will have the opportunity to mentor the PhD students on the team. Experience in any of the following areas may be useful: SMART
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consult with our multi-disciplinary team of scientists, developers, and clinicians. Write manuscripts to summarize the research findings Be an expert on the latest machine learning techniques, methods, and
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procedures and processes; Mentoring trainees working on the project in study design, research methods, scientific writing, and team science. Required Qualifications* PhD in epidemiology, statistics
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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in which they will acquire core skills in research methods including analytic skill development, manuscript writing, project management, and grant development through applied research as
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research methods Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are
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in animal models. A Ph.D. in Pharmacology, Biochemistry, Molecular Biology, Cell Biology or Physiology, and knowledge and experience with molecular methods is required. Experience in cardiovascular