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Field
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relying on optical measurement techniques for fluid mechanics, such as particle image or particle tracking velocimetry. Work with graduate and undergraduate students to fabricate and test prototypes, using
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to investigate the molecular and cellular mechanisms of intercellular communication in the healthy brain and in tumor microenvironment (TME). The major focus of our lab is to advance technologies including single
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of the intestines induced by radiation, with a focus on mechanisms of regenerative reprogramming. Complementary approaches will be used, including genetically engineered mouse models, histopathology, mouse and human
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, and measure success. Basic Qualifications: PhD degree in a related scientific field (e.g. architecture, architectural/mechanical/electrical engineering) completed within the last five years. Proven
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Mechanical, Aerospace or Electrical Engineering, or other related fields specializing in the area of machine learning and dynamical modeling, excellent problem-solving skills as well as good oral and written
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focused on studying the sensorimotor mechanisms of speech and their impairments in adult neurogenic populations. Excellent facilities for EEG, fMRI, and behavioral testing are available. The Research
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mechanisms of host factors and viral determinants that enhance Coronavirus zoonosis. Traditional molecular virology skills and the ability to generate hypotheses are required. Work also requires biosafety
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, ag professionals, and federal/state/local agencies. Required Qualifications: PhD in Civil/Environmental/Agricultural/BioSystems Engineering, Applied Math/Statistics, or related field Prior work at the
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interests in astrophysics at the Princeton Plasma Physics Lab and in the Physics, Geosciences, and Mechanical and Aerospace Engineering Departments, and at the nearby Institute for Advanced Study. The Term
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Qualifications: A PhD in Mechanical Engineering required; successful PhD thesis defense with pending graduation will be considered Experience with theoretical modelling and data analysis using Machine Learning is