43 parallel-and-distributed-computing-phd Fellowship positions at University of Michigan
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                collaborative team Write manuscripts for publication Present research at internal and external meetings Required Qualifications* PhD in Cognitive Science or a related field Ability to work with complex clinical 
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                Apply Now Required Qualifications* A PhD is required for this position. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department 
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                , computer science, or equivalent disciplines. Good written and verbal communication skills in English. Ability to work independently or collaboratively with a diverse research team. Desired Qualifications 
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                bundle platform we developed to increase rigor of structure-function quantifications. We also perform CRISPRa high throughput screening and massively parallel reporter assays (MPRAs) in iPSC-CMs. A current 
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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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                encouraged to apply for additional funding after one year. Required Qualifications* An MD or PhD degree is required for this position. We are seeking exceptional candidates with strong backgrounds in vascular 
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                sequencing to study the cellular and molecular changes. The role involves both experimental and computational work under the supervision of the Principal Investigator. Mission Statement Michigan Medicine 
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                that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer 
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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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                with Owen-Smith and other members of the IRIS team. Familiarity and demonstrated expertise with network and computational science methods, science of science research, creation and manipulation of large