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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
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for analysis and dynamic configuration. Publish results in high-impact venues. Collaborate with academic and industrial partners in Shift2SDV. Co-supervise MSc and PhD students. Optionally contribute to teaching
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PhD degree in civil, mechanical, or electrical engineering, computer science, or a closely related field. A desire to engage in cross-disciplinary research at the intersections of civil, mechanical
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hearing from researchers with oceanographic, as well as meteorological, science background. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale
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-supervise MSc and PhD students. Optionally support teaching and proposal activities. Required qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in computer science
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facilities in imaging, immunology, tissue engineering, and bioinformatics. Qualifications We seek applicants with the following qualifications: Essential: PhD in molecular biology, immunology, biochemistry
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Electronics for heavy duty charger defined by the MCS and CCS standards. PhD within High Power Electronics and a Master of Power Electronics and Drives with interest of experimental work and the ambition
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of the IML group within prediction of T cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within the group and
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the competences of the IML group within prediction of T cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within
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to collaborate with fellow researchers, fostering a collaborative and innovative research culture. The ideal candidate has the following skills: PhD in computational biology, bioinformatics, computer science