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Field
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Familiarity with brain imaging analysis acquisition Knowledge of multivariate statistics and/or digital signal processing Proficiency in Python. Parallel computing processing experience is highly appreciated
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in C++/Java/Fortran 90, Python/MATLAB, and MPI-based parallel computing Strong publication record as first author in peer-reviewed journals Preferred qualifications Experience with 3D conjugate heat
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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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and (bio)statistics, biology or medicine. Applicants must have a proven publication record. Prior experience with handling massively parallel sequencing data is considered an advantage. Postdocs will
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framework, covering a wide spectrum from RANS approaches to high-fidelity LES with automatic mesh adaptation. In parallel, recent work has led to the development of multi-fidelity modeling strategies
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systems, code generation and transformation, HPC, parallel and distributed computing, compiler infrastructures, heterogeneous systems, and autonomous system optimization. Desired expertise includes
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to work in an interdisciplinary research team; demonstrate creativity, independence, responsibility and commitment to assigned tasks; be able to conduct several research tasks in parallel and have excellent
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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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welcome but not required. It is a plus if you additionally have hands-on robotics experience, experience with differentiable / GPU-parallel simulation (e.g. Isaac Lab, MuJoCo MJX, Genesis), or experience
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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