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Sciences Position description The purpose of the position is to give the employee an early opportunity to develop his or her independence as a researcher and to create the conditions for further acquisitions
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robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments. Click here to go to the website
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
mutual agreement) at the IT4Innovations national supercomputing centre is open to applicants. The Material Design group led by Dr. Dominik Legut within the Modeling of Nanotechnology Lab is looking
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energy-conversion testbeds, evaluating activity, selectivity, stability, and energy efficiency under realistic operating conditions Develop reaction and reactor models and conduct process analysis
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conditions. The project sits at the interface of computer science, computational materials science, and Earth and planetary sciences, and emphasizes cross-disciplinary collaboration. The term of appointment is
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, and other relevant cell types. Conduct stereotaxic surgical procedures and targeted injections in mouse models. Support viral vector delivery and molecular, biochemical, histological, and cellular
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on the secure data processing and predictive modelling, we aim to drive progress in translational medicine, improving diagnostics and healthcare solutions. For more information, please visit our page . We
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independent researc A solid background in batteries, battery management systems, battery SoX modeling, thermal management of batteries, battery lifetime estimation and development of experimental setups
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explores genetic causes of neurological disorders and aim to develop therapies for these conditions with a high complementary approach, ranging from stem cell modelling to functional genomic. Information
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new