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along with experience in applying Artificial Intelligence (AI)/Machine Learning tools, OR a PhD in AI/Machine Learning with experience in plasma physics or other strongly coupled physical systems
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satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. Essential Qualifications: PhD in a relevant discipline Interested applicants must apply online
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. The appointment will be through the Office of Population Research. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding. A PhD is required in a
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excellence in education are encouraged to apply. PhD is required. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/33502 and include curriculum vitae, research statement and names
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in an interdisciplinary research environment, have excellent English written and spoken communication skills, and a PhD in a relevant field. We are interested in receiving applications from members
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spectrometry and associated data types; strong in metabolism, chemistry, and quantitative science; and skilled and fast writers of computer code. Essential qualifications include: - A PhD in a relevant
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Neuroscience, Physics, Electrical Engineering or related science or engineering field is required. - Previous experience in optics and/or imaging is required. Preferred Qualifications: - Master's or PhD degree
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technical and programmatic stakeholders including development of new funding proposals. Qualifications Education and Experience: PhD in chemistry, physics, materials science, applied physics, engineering
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to develop computational and analytical tools for optimizing magnetic field and coil shaping to achieve particle confinement, maximizing integrability and quasisymmetry. Applicants should have a PhD in
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(BSPL). Individuals with a PhD and research interests in psychology, sociology, behavioral economics, management, or another social or behavioral science relevant to the study of human behavior on climate