56 phd-in-computational-mechanics-"Prof"-"Prof" Fellowship positions at Indiana University
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with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing of this data, with a major focus on
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IU Bloomington Intelligent Systems Engineering Location Bloomington Position Summary Indiana University, Bloomington Luddy School of Informatics, Computing, and Engineering Leung Research Group
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for one or more outstanding, highly motivated post-doctoral research fellows with special interest in human genomics/computational systems biology to work on multi-omics analyses of Alzheimer’s disease and
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discovered populations of pulmonary endothelial cells in the pathobiology of PH and investigation of heme-mediated signaling mechanisms. Dr. Rafikova’s lab research focuses on the role of mitochondrial
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fellows with special interest in human connectomics in Alzheimer’s disease (AD). The Lab’s overarching goals are 1) to achieve a better understanding of the brain network and neurophysiological mechanisms
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dysfunction, mechanisms of immune regulation, and sex differences in PH. The successful candidate will be actively involved in ongoing multi-project settings in a highly productive research environment
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of Medicine Indianapolis Position Summary Post-doctoral fellow position in the Laboratory of Molecular Mechanisms of Auditory Perception and Deafness We are seeking a team-oriented and motivated post-doctoral
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for one or more outstanding, highly motivated post-doctoral research fellows with special interest in human genomics/computational systems biology to work on multi-omics analyses of Alzheimer’s disease and
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discovered populations of pulmonary endothelial cells in the pathobiology of PH and investigation of heme-mediated signaling mechanisms. Dr. Rafikova’s lab research focuses on the role of mitochondrial
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fellows with special interest in human connectomics in Alzheimer’s disease (AD). The Lab’s overarching goals are 1) to achieve a better understanding of the brain network and neurophysiological mechanisms