38 parallel-computing-numerical-methods "Multiple" Fellowship positions at Indiana University
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interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people
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Ware, MD, Phd (https://medicine.iu.edu/faculty/22816/ware-stephanie) is the Chair of the Department of Medical and Molecular Genetics as well as the program leader of the Cardiovascular Genetics Program
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process can be directed to Prof. Chen-Ting Liao (Liao3[at]IU.edu) Basic Qualifications: • Ph.D. in Physics, Chemistry, Quantum Information Science, Optics, Electrical Engineering, or a related field at the
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Location Bloomington Position Summary The IU experimental nuclear physics group has an active program addressing fundamental questions in nuclear physics, particle physics, and astrophysics/cosmology. Group
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, balanced homodyne detection; keywords in theory includes: relativistic quantum information science, quantum field theory, quantum optics, quantum fluctuations of the vacuum, Unruh-DeWitt detector model
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Qualifications Required Qualifications • Ph.D. in Cancer Biology, Immunology, Biochemistry, Chemical Biology, Computational Biology, or related field • Strong publication record and demonstrated productivity
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Posting Details Position Details Title BME Postdoctoral Fellow - Cardiovascular Medicine Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Cardiovascular Medicine Campus IU School of Medicine Indianapolis Position Summary A postdoctoral position is available late summer of...
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Collier Indiana University Department of Mathematics Administrative Services Program Manager 831 E. 3rd St. Rawles Hall 106 Bloomington, IN 47405 (812) 855-2200 Additional Qualifications Salary and Rank
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Position Summary CASC and the Africana Studies Program at Indiana University Indianapolis invite applications for a Mellon Foundation–funded Postdoctoral Fellowship linked to the newly established Black
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or interest in the use of artificial intelligence, machine learning, or computational tools in behavioral and experimental economics is appreciated. Strong emphasis will be placed on demonstrated research