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New York, NY. We are looking for an enthusiastic and motivated individual to join our computational team. Our overarching research goal at the CTCN is to identify and model molecular mechanisms
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responses to cancer therapies in human induced pluripotent stem cells) data for elucidating molecular mechanisms for health outcomes; and 3) evaluating health disparities through pharmacogenomics
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for the research include advanced applied computational methods development, theory, NeuroAI, and motor control. Duties include developing neural network models which emulate the mechanisms at play among the brain
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The newly established Program for Memory Longevity (PML), led by Attila Losonczy, MD, PhD, in the O’Donnell Brain Institute (OBI) and the Department of Neuroscience at the University of Texas
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field
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ceramics, leading to incorporation into robust nuclear performance codes for nuclear reactors. Candidate will perform/analyze mechanical testing of irradiated ceramics, finite element computations, 3D
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Graduate School of Medical Sciences of Cornell University, as well as the Tri-Institutional MD/PhD Training Program. Interested candidates should visit https://www.mskcc.org/research-programs/developmental
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substituted as appropriate. Preferred Qualifications MS or PhD in Electrical Engineering, Computer Engineering, or a related discipline. Proven program management chops. You can demonstrate end-to-end ownership
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9738BR Kate Gleason College of Engineering KGCOE Mechanical Engineering Job Summary The Fluid-Acoustic-STructure (FAST) laboratory at Rochester Institute of Technology (RIT), directed by Dr. Byron D
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with multiple programming languages and computational environments, including UNIX-style operating systems, command line interfaces, R, perl/python or similar, and SQL or other database software