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and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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European funding Represent the University of Luxembourg in international research forums, fostering collaboration and visibility Mentor PhD students and student assistants working on related topics
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conferences and peer-reviewed journals. Minimum Qualifications: • PhD in Mechanical Engineering, Aerospace Engineering, or a related field • Strong background in fluid dynamics, thermodynamics, heat transfer
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optimization in distributed systems. The work also involves modern compiler infrastructures, with emphasis on MLIR, and contributions to LLVM and the OpenMP standard. Applicants must hold a PhD in Computer
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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workshops and producing accessible toolkit resources, with a proof-of-concept focused on diabetes prevention for women of South Asian and Black African heritage. In parallel, the post holder will work
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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures
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-holder will also optimise human DRG cultures and perform electrophysiological and functional characterisation. In parallel, the post holder will use the newly developed human induced pluripotent stem-cell
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Engage in the broader academic activities of the institute, helping to foster a vibrant and collaborative research environment Your Profile Doctorate/PhD in Theoretical Physics or a closely related field