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of the global economy by 2050 are encouraged to apply. Applicants will have a PhD or equivalent degree and experience in energy-climate modelling and analysis or a related field. The individuals will join Rapid
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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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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 optimization (theory, modeling, and
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subvolume that is optimal for scientific discovery. 2.EM sample preparation. Prepare mouse brain tissue for EM imaging by fixation, staining, and embedding. 3.Cutting and collection. Cut and collect sections
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-objective stochastic optimization, and scientific computing. The role of the Princeton researcher in this project will be to develop computational and analytical tools for optimizing magnetic field and coil
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a PhD or equivalent degree and experience in energy-climate modelling and analysis or a related field. The individuals will join Rapid Switch (https://acee.princeton.edu/rapidswitch