54 computer-science-intern "https:" "https:" "https:" "https:" "P" "Grenoble INP LCIS" Fellowship positions at Indiana University
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: https://faculty.medicine.iu.edu/relocation . The search will continue until the positions are filled. Basic Qualifications Required Qualifications: Ph.D. (by start date) in Computer Science, Biomedical
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with Centers, Institutes, and Programs throughout the University and with other academic and health care institutions. (https://medicine.iu.edu/internal-medicine/specialties/general ) IU Center for Aging
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participating in lab meetings and discussions. Education and experience required: Ph.D. in computational biology, bioinformatics, computer science, or a related field. Demonstrated experience leading
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of Biostatistics and Health Data Science at Indiana University School of Medicine, in close collaboration with the Regenstrief Institute, a nationally renowned center for health informatics research and real-world
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assistants • Write scientific publications and present findings Required Qualifications • MA in computational social science, digital humanities, computer science, or related field • Python proficiency
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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
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research as well as behavioral health informatics. The fellow will receive mentorship from faculty investigators toward the development of an independent program of research. Training will be provided in
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national and international public health policy. For more information, visit our GitHub page at https://ceph-lab.github.io . Located on the flagship campus of the Indiana University System, IU School
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that has been named “Best Airport in North America” by Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation Basic
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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