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research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 33,000 students and researchers alike to develop their own individual talents. As one
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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. You actively contribute in shaping and improving our courses and education programmes. In particular, you help develop a Master's track in Biophysics and/or a minor in Biophysics at the Bachelor's level
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communication and quantum sensors) Supporting development activities for the topics listed above and other related optoelectronic technologies Development programme In addition to your daily work, you will take
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evolves. As our new BI specialist, you are the go-to expert for dashboard development, KPI design, and scalable reporting solutions. Join us and help to build a smarter, data-driven future! Job description
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PhD position on the transition to a green steel industry Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40 Application deadline: 25
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research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 33,000 students and researchers alike to develop their own individual talents. As one
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research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 33,000 students and researchers alike to develop their own individual talents. As one
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research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 33,000 students and researchers alike to develop their own individual talents. As one
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and assisting in their resolution; contributing to the definition of technology development requirements and work plans for the Agency’s technology programmes; defining, initiating and managing R&D