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? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase. Your work will help shape environmentally
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thesis within the contract period is to be expected. A PhD training program is part of the agreement and you will be enrolled in the Graduate School of the Faculty of Science and Engineering. Candidates
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will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team. The gross salary for the first year is € 2.901,- per month rising
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to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A university PhD training programme is part of the agreement, and the candidate will be
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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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the communicative and emotional demands of social interactions using a multidisciplinary, cognitive neuroscience approach. We are seeking two highly motivated PhD candidates to join our interdisciplinary research
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Vacancies PhD Candidate Futuring for Resilient Urban Spaces Key takeaways Interested in developing transdisciplinary approaches that engage both scientific evidence and the imagination
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PhD position on decadal coastal dune development Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 8 September 2025
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completion of the PhD thesis within the next three years is to be expected. A university PhD training programme is part of the agreement, and the candidate will be enrolled in the Graduate School of Science
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles