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candidates with other research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics
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excited about building and deploying systems. Work with the PI in mentoring PhD and Master students. Be self-motivated and driven, creative, team-oriented, and able to work efficiently in a
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researchers at Princeton and other institutions, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with
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PhD (or be near completion) in a field such as AI, computer science, signal processing, biomedical engineering, have a strong record of publication in engineering or computer science literature, and
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of the project. Applicants should hold, or be close to completion of, PhD/DPhil in Biology or a related subject. You should have a high level of competence in cell biology and relevant experience demonstrated by
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), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a PhD (or be near completion) in a field such as AI, computer science, signal
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• PhD by position hire date in Counseling, Clinical, or Developmental Psychology, or a related field (e.g., Social Work, Public Health, Prevention Science) by the time of appointment • Experience
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scientific productivity with peer-reviewed publications and strong commitment to scientific research. Recipients of recent PhD or MD degree are strongly encouraged to apply. Applicants with experience in
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opportunities. Required Qualifications • Ph.D. in neuroscience or related discipline. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility
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Organoid model culturing Mouse model optimization and validation You will report to the Professor Bent Deleuran and Associate Professor Stinne Greisen Your competences You have academic qualifications at PhD