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the ecosystem as a whole. We are looking for a highly motivated and talented Ph.D. candidate to join our research team, dedicated to exploring the functioning of supply chains and performance
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and magnetic fields. A crucial aspect lies in the interpretation/modelling of the results. In this role, you will get to work with a variety of devices structures, with an emphasis on quantifying
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environmental disaster (climate change) for another (ecosystem damage). A circular economy for EVs, which seeks to recover waste at all stages of the life cycle, has been proposed as a partial solution to curb
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fundamentals of networking. Objectives: To achieve on-device spectrum sensing using on-board sensors of mobile BSs, empowered by embedded deep learning algorithms; to propose an analytical model for the cell
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analysis, modelling and field experiments, our project will illuminate the way forward for assisted migration (AM) as a pathway to sustain, and to restore in case of degradation, the biodiversity and
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team using the contact information below. The Role We are looking for a diagnostic R&D scientist to be part of the Cell Models and Antibody Technology team within our Medical Devices Research Centre (MD
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at the interface between stochastic modelling, signal processing and data science. Ultimately, the project will develop key indices that can be used to assess the health of the soil ecosystem. Such indices
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of computer-assisted orthopedic surgery, embedded in Zurich’s vibrant MedTech and AI ecosystem. With direct access to the state-of-the-art OR-X infrastructure for translational validation, the successful
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of industrial ecosystems surrounding AM in the Netherlands, examining how firms, institutions, and infrastructures interact to enable—or constrain—the development of a competitive and sustainable AM sector
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security