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such as TensorFlow, PyTorch, or JAX is a must and experience with GPU-based experimentation and cluster computing (e.g., Docker, Slurm) a plus. In addition to the above, there is also a mandatory
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these fields, demand for GPU resources for AI has increased significantly in recent years. We operate modern HPC clusters, visualisation resources and advanced storage systems, and continuously develop new
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infrastructure, including GPU-based systems. Also of importance are: Demonstrated teaching proficiency Type of employment: The position is fixed-term for four years. During the period of employment, an Associate
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theoretical physics. prior work in many-particle quantum mechanics. excellent knowledge and previous experience in HPC and proven competence in c++ and GPU computing. good ability to work independently and to
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experience of large-scale data management, high-performance computing (HPC), GPU acceleration, and parallel file systems Documented experience in leading staff and operations supporting bioinformatics and
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infrastructures Documented, long-term experience of independent research within life science/bioinformatics Documented experience of large-scale data management, high-performance computing (HPC), GPU acceleration