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related field (e.g., statistics, computer science, electrical engineering, applied mathematics, or operations research) before May 2025 are encouraged to apply. Ideal candidates will display outstanding
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cognitive neuroscience, and houses state of the art facilities for experimental research in all of these areas, as well as advanced computational resources that support theoretical and quantitative approaches
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Astrophysics / Black holes , Astrophysics , Computational Astrophysics , Cosmology , Dark Matter , Gravitational Waves , particle astrophysics , Theoretical Astrophysics Theoretical Physics / Astrophysics
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for students of higher ability; - general resources, including the use of Information Learning Technology. Contributing to the design, delivery and future planning and development of the curriculum. Contributing
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ice-coating interfaces. Collaborate with computational and theoretical researchers to validate models and inform new material design principles. Supervise and mentor graduate students and post-docs in
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Based in Princeton’s School of Public & International Affairs, in collaboration with and housed in the Department of Economics, the Research Program in Development Economics (https
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in a Master’s program in Chemistry Strong practical laboratory skills: solution preparation, use of specific equipment, application of safety protocols. Ability to analyze and interpret experimental
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, computer science, physics, etc. Prepares and edits research papers, proposal, and reports. Performs advanced testing procedures and analyses of data. May prepare samples for testing. Performs advanced testing
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Smart Materials Lab (Panče Naumov Group) in the Division of Science and Mathematics, New
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Engineering (FSE) contributes to this mission by training skilled professionals through our new EngD programme in Sustainable Process Design. This 2-year post-master design programme, closely collaborating with