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Field
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lifetime imaging. Broad knowledge and hands-on training of design, theory and operation of advanced light microscopy systems, including skill and experience in their operation. Mechanical and electronic
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pharmacology and toxicology experiments to determine basic mechanisms of actions as well as evaluating and developing treatment regimens for chemical exposures. Qualified applicants with questions regarding
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the intersection of computer science and drug research, to support strategic focus on the use of AI in scientific research within the general area related to drug security. The position is at
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/ML frameworks (e.g., TensorFlow, PyTorch, FLOWER). Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and on-premise cloud platform such as VMWARE, and heterogeneous infrastructure
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for faculty positions in mathematics and related interdisciplinary areas, including but not limited to: Computational and applied mathematics; artificial intelligence for sciences (especially biomedical science
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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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Requirements • A PhD in Atmospheric Science/Mechanical/Environmental Engineering or equivalent • Proficiency in computational fluid dynamics (CFD) simulations software • Strong passion in research and
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students with their research projects. Job Requirements: Ph.D. in Electrical Engineering, Computer Science, Mechanical Engineering, or other related fields. Solid Mathematical and Programming skills. Strong
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sets up his new lab at Harvard. For further information, please contact xie@seas.harvard.edu. Basic Qualifications PhD in electrical and computer engineering, mechanical engineering, materials science
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understanding the molecular and cellular mechanisms underpinning neurodegeneration. The post holder will join an established and dedicated team of researchers using human induced pluripotent stem cells to study