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Your Job Design, fabricate, and characterize advanced FDSOI devices for neuromorphic computing applications Develop and optimize semiconductor fabrication processes in a state-of-the-art cleanroom
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computing Experience in the development and application of process-based models and/or model–data fusion and data assimilation methods Very good programming skills in Python and/or Fortran; knowledge of
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Physics, specializing in neutronics or nuclear engineering Computing skills: Proficiency in C++ (as the core computational kernels are written in this language) Applied mathematics skills: Numerical
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Bioscience, we seek a skilled and motivated Postdoctoral Researcher to develop next-generation laboratory methods for single-cell genomics and transcriptomics of uncultured protists. The position is
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, microfluidics, laboratory automation, and GPU computing infrastructure. The opportunity to develop AI methods and scientific software that are directly deployed on cutting-edge experimental
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this. Applicant Profile Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods
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experimental campaigns and validating numerical models against experimental data; · Analysing results and identifying opportunities for performance optimisation; · Publishing research results in international
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candidate will contribute to the development of reliable, reproducible and reusable AI infrastructure for biomedical research, supporting the transition of machine-learning (ML) methods from research
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division in national and international research contexts Your Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and
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Your Job Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g