60 professor-computer-science "https:" "https:" "https:" "https:" "WENZHOU KEAN UNIVERSITY" Fellowship research jobs 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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optical imaging (Leung Research Group) The Leung Research Group (https://sites.google.com/view/LeungGroup) in the Department of Intelligent Systems Engineering at the Luddy School of Informatics, Computing
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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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. The postdoctoral fellow will test research hypotheses in rodent traumatic brain injury models and cell cultures, primarily utilizing molecular, cell biology, and behavioral techniques. The laboratory of Dr. Gao
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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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their caregivers. (https://www.regenstrief.org/centers/iu-center-for-aging-research/ ) Access mentorship from leaders in clinical trials and implementation science. Build a competitive research portfolio
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research-intensive institution. Basic Qualifications Qualifications: Candidates must have received a doctoral degree in a quantitative field (e.g., Mathematics, Physics, Computer Science, or a related
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Posting Details Position Details Title Postdoctoral Fellow Appointment Status Non-Tenure Track Department IU Bloomington Psychological & Brain Sciences Location Bloomington Position Summary
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-envelope phase/offset, balanced homodyne detection; keywords in theory includes: relativistic quantum information science, quantum field theory, quantum optics, quantum fluctuations of the vacuum, Unruh
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photoreceptors in marine Synechococcus using CRISPR and protein biochemistry approaches. This project is funded by the NSF Systems and Synthetic Biology Program and builds on our successful initial studies of Type