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feeds Development of Machine Learning Models for Critical Heat Flux predictions H/F 64 / 795 vacancy Vacancy details Position description Category Thermohydraulics and fluid mechanics Contract
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school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development of your personal
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nanoelectronics research center IMEC ( https://www.imec-int.com/en ). The work will focus on spatially resolved electrical measurements, enabling direct correlation between structure and transport
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for Integrative Genomics The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, headed by Laura
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Europe’s largest research institutions Collaborative Research : Participation in exciting collaborative research projects with top-tier partners Professional Development: Excellent further training, cross
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days of annual leave Knowledge & Development: Your professional development is important to us – we support you specifically and individually e.g., through training and networking opportunities
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drought Motivation for modelling and data analysis Programming experience or willingness to develop it Good English communication skills (at least B2 level according to the CEFR: https://go.fzj.de
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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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design and training of neural networks Practical experience in FPGA development or embedded hardware design, including HDL (VHDL/Verilog) or high-level synthesis (HLS) tools Proficiency in programming
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Your Job As a PhD researcher, you will contribute to advancing the experimental development and fundamental understanding of an integrated electrochemical system for the energy-efficient and