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Field
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collaboratively in an interdisciplinary, multicultural research environment. Strong analytical skills, with experience in statistical analysis, geospatial data processing, or modelling of socio-environmental
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) Project Why apply? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda
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the experimental setup, analyze data, and gain experience in modeling, coding, and running complex equipment in our state-of-the-art laboratories. You will also receive comprehensive training to support your
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machine learning models. You care deeply about privacy and are keen to create. You have a good command of spoken and written English. You are motivated to publish at top-tier academic venues. What we offer
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activities external link . You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional
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performed in cell culture or animal models. Department of Human Movement Sciences The Department of Human Movement Sciences performs research on the human musculoskeletal system, on the way people move, and
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candidate, you will design and build your levitation system, operate and maintain the experimental setup, analyze data, and gain experience in modeling, coding, and running complex equipment in our state
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? To what extent and how do features of the collaborative process have to account for existing citizen initiatives? How can we integrate models of social influence and “diffusion on networks” with models
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the Standard Model. The LHCb experiment at CERN is uniquely equipped to study decays of heavy hadrons with high precision. The prospective PhD researcher will take on a leading role in a search for lepton
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techniques (lithography-based) to manufacture highly controlled three-dimensional electrode structures. Strong collaboration is expected with other project partners in areas such as multiscale modelling