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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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on democratic political processes and institutions. PhD required. Each post-doctoral associate will pursue research and contribute to the intellectual life of the Center, the Princeton School of Public and
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and biomanufacturing challenges, mentor students, collaborate across disciplines, and help translate transformative research into real-world impact. Required Education: PhD in Chemical Engineering or
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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multivariate data analysis. Preferred Qualifications: PhD in Chemistry, Materials Science or Chemical Engineering. Candidates are expected to have a strong background in quantitative structure analysis based
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for publication ● Pursuing independent research projects in conjunction with the focus of the labs Qualifications ● PhD in a field falling within the social, behavioral, cognitive, and/or environmental sciences
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working with HPV-positive cell lines is a plus. Preferred Schedule: 7am to 5pm Position Requirements: Minimum Qualifications: Minimum education: PhD in a scientific field or MD Minimum experience: 0-3 years
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are looking for candidates with: A PhD in Operations Research, Applied Mathematics, Mathematics, Engineering, or a related field. A background in logistics (preferred). Strong writing and presentation skills in
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must hold a PhD in psychology, animal behaviour, or another related field and must show experience with having worked with animals, ideally birds (and preferentially corvids). The applicant must have
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successful in this role, we are looking for candidates to have the following skills & experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation