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computational project. To do this project you would need to apply for a Monash Scholarship. Required knowledge A decent theoretical background in physics, computer science, mathematics, engineering
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collaborating with other group members and collaborators and, in particular, members of the Cluster "Color meets Flavor" Your Profile Completed Master`s degree in physics or similiar Knowledge of lattice
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, Artificial Intelligence, Geosciences, Physics, or a related field Strong programming skills in Python and experience with deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn
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Space Telescope Science Institute (STScI) | about 2 months ago
should be directed to Dr. Dos Santos, [email protected] . Applicants shall hold a Ph.D. degree in Astronomy, Physics, Planetary Science, or related fields at the start of the position. Expertise in
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—where feasible—inference of network interaction structure from observational data. The PhD fellow will join a research group at Section of Mathematics and Physics working on adaptive network dynamics
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next-generation pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A
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knowledge A decent theoretical background in philosophy, physics, computer science, mathematics, engineering, neuroscience or psychology. Project funding Other Funding reference https
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knowledge A decent theoretical background in philosophy, physics, computer science, mathematics, engineering, neuroscience or psychology. Project funding Other Funding reference https
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, physics, nanochemistry, material science or similar. Applicants can have a background from solid state chemistry/physics, chemical engeneering, computational chemistry or similar. Our group and research
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truth rather than from limited human annotations. Possible methodological directions include differentiable simulations in JAX or PyTorch, neural or physics-based rendering, generative distribution