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                computational molecular docking software would also be beneficial. The candidate is expected to be a good team player and have excellent oral and written communication skills. Mission Statement Michigan Medicine 
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                techniques, methods, and research, especially deep learning literature, and how these methods apply to our use cases Ability to manage multiple projects and assignments with a high level of autonomy and 
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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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                research experiments, determining the most suitable methods to be used. Interpret and perform complex data analysis on experimental results and determine whether they are consistent with goals. Maintain a 
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                program for up to two years in which they will acquire core skills in research methods including analytic skill development, grant and manuscript writing, and project management through a combination of 
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                , and present findings at national and international conferences. Required Qualifications* Prospective candidates for this position are required to have a minimum of a MD, DVM, or PhD degree (in 
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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