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Biomedical Engineering & Informatics, and Associate Director for AI Research at the Center for Computational Biology and Bioinformatics. Dr. Duren’s research focuses on development of computational methods and
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: (1) Designing, implementing, and overseeing research projects focused on methods development for understanding genetic variation within and between populations, (2) building computational pipelines
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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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. The postdoctoral fellow is expected to independently plan and conduct experiments under the guidance of the Pl, using molecular and cellular biology techniques that include, but are not limited to, cell culture
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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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, 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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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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Bloomington Position Summary Indiana University, Bloomington Luddy School of Informatics, Computing, and Engineering Department of Intelligent Systems Engineering Postdoctoral Fellow in Bio-Photonics and
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available based on performance. A competitive salary along with a benefits package will be offered. Interested candidates should submit 1) a cover letter, 2) CV, 3) a one-page research plan that reflects
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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