7 algorithms-phd-"INSAIT---The-Institute-for-Computer-Science" Fellowship positions at Johns Hopkins University
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to remove PFAS. To accomplish these goals, the candidate will participate in the development of AI/ML algorithms for the prediction of chemical properties, infrared and mass spectra, and ionization cross
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managing timelines and deliverables. Qualifications Advanced Degree: A PhD in a relevant field such as computer science, economics, political science or cultural evolution Programming Skills: Proficiency in
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-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements. § Implementing algorithms
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technologies, ethical implications, and governance frameworks, including knowledge of algorithmic accountability and transparency. Experience with both qualitative and quantitative research methods, and
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: A PhD degree in business, computer science, informatics, social sciences (preferably sociology, psychology, or economics), public health or a related field is required and must be conferred by
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transmitted to the larger organization. Qualifications § A PhD in Electrical and Computer Engineering, Applied Physics, or a related field § >3 years experience with Lumerical and Comsol electromagnetic
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Professor Johns Hopkins School of Nursing andre.nogueira@jhu.edu Qualifications Required Qualifications: PhD in Design, Systems Science, Public Policy, Public Health, or related field Demonstrated experience