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collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in
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into consideration. The applicant should have good knowledge of automatic control, optimal control, statistics, and optimization. Furthermore, good programming skills are required, including Python and C++, and
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in cybersecurity which have led to the creation of many new courses and training forms that are not always based on evidence and didactic principles. Therefore, we need now new knowledge about how we
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composite materials, materials science and engineering or similar disciplines. The applicant should have knowledge and experience in characterization of mechanical properties and damage in polymer composites
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programming skills and finite element (FE) analysis experience is a requirement. Knowledge of machine learning, Matlab and Abaqus is also highly desired. Previous experience with parametrization and automation
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have experience and knowledge in the characterization of nanomaterials, particularly photocatalysts. Proven programming skills (e.g., Python, MATLAB, LabVIEW) for automation and data analysis are highly
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postdoctoral fellows, you will work with focus on improving knowledge, diagnostics and interventions for children who have been seriously ill during the newborn period. Ultimately, our vision is to move from
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networks. Deep learning for chemistry. The position requires very good knowledge of both spoken and written English. Scholarly proficiency must have been demonstrated through original research resulting in