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Field
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their own research program in collaboration with, and in parallel to, Prof. Zanazzi. Penn State hosts a vibrant community of scientists working on many aspects of exoplanetary astrophysics, including
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computational experts to conduct efficient analyses leading to discovery in mammalian neuron genome structure-function data. In parallel, trains to achieve mastery and excellence in running code written by other
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of the Bachelor's or Master's degree programme (e.g., sociological research training, Bachelor's seminar). You will also be responsible for coordinating the content of specific parallel courses. The employment level
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software for multi-arch environments Development in high-performance computing (HPC) or distributed systems Strong understanding of Linux toolchains, build systems (CMake), and debugging tools Parallel
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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hydrodynamics and/or N-body simulations in the star and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials
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toolchains, build systems (CMake), and debugging tools Parallel computing libraries (MPI, RPC, Mercury, Margo) Experience with HTML and web technologies. Cloud computing platforms and web deployment
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critical zone functioning and guiding questions to understand it. The successful applicant should develop his/her program with this in mind. Other duties include advising students and postdocs, teaching
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the passion to accomplish something new—complemented by teamwork and fostering personal relationships. From assistants, students, researchers, postdocs to professors; we are all working hand in hand, are highly