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. Integrate the feed chemistry data being developed in a parallel project. Travel to India to help implement the updated model. This would be as needed and no more than two times per year. Conduct a comparative
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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to present and publish results in peer-reviewed journal articles Preferred Qualifications Experience in code development using C++/C/Fortran and parallel computing Knowledge of hypersonic/rocket propulsion
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via email to [email protected] quoting “Postdoc Position in Dexterous End-Effectors for 6G Tactile Tele-surgery” in the e-mail subject line. The position will be filled as soon as possible and
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RNA regulatory networks and uncover previously unknown, potentially functional interactions. In parallel, CLIP-seq and related datasets will be incorporated to model protein-RNA interactions and to
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for the generation of clean H2 from non-ideal water streams, looking at oxygen evolution and parallel purification reactions. The candidate(s) will also work with the team to scale-up of the system in area, number
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Qualifications Experience in code development using C++/C/Fortran and parallel computing Knowledge of hypersonic/rocket propulsion systems To be considered as an Associate Research Scientist, 3+ years
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will be viewed highly favorably. Experience with GPU acceleration or code parallelization paradigms (e.g., MPI, OpenMP, CUDA). FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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or model parallel training. Experience with multi-physics simulations on HPC and with ML models. Experience working in a multi-disciplinary research environment. Demonstrated written and oral