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Apply Now Summary We are looking for a postdoctoral fellow to work in the fields of in bioinformatics, biostatistics, machine learning, vaccine informatics, microbiology, immunology, and precision
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broaden the sphere of interdisciplinary and collaborative research in the humanities and social sciences. The Martin Institute and Program in International Studies at the University of Idaho is committed
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interdisciplinary training in soft matter, non-linear physics, biology and statistical physics. The proposed research and training programme will focus on the study of smart composite materials to address
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of background and identity. To apply, please complete the application on the U-M Careers site. Applicants should submit the following items in a single PDF: Cover letter describing your research experience and
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or higher in Computer Science, Data Science, Computer Engineering, Biomedical Engineering, Bioinformatics or related fields Expertise in Python and Matlab programming Previous published first author work in
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Apply Now How to Apply Applications are encouraged from all qualified individuals regardless of background and identity. To apply, please complete the application on the U-M Careers site. Applicants
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for scientific meetings and/or grant submissions. Provides other support to the program as directed. Required Qualifications* Education: Must possess either a Ph.D in biological or related sciences field, or a
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experiences will be complemented by appropriate formal education, with trainees having the opportunity to receive a Master of Science degree in Health Services. Our proposed Core Program will provide trainees
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. Required Qualifications* The successful candidate will have a doctoral degree in Epidemiology, Health Economics, Engineering, Applied Mathematics, Statistics, Computer Science or a related field. Additional
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of Clinical Pharmacy. The clinical and research program will focus on evaluating the implementation and program refinement of a novel Comprehensive Medication Management practice model for high cost, high