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collaborative settings and wish to play a key role in an EU-funded project with researchers from multiple countries? If so, this PhD position could be a good opportunity for you. This project focuses
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cutting in the production facility. Establish a numerical model to simulate the glass cutting process. Design experimental measurements and assist in the integration of sensors in production. Acquire
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candidate you are expected to be and/or become an expert in both. The team has a strong ethos of direct collaboration and you will be often asked to help with and be involved in other projects as a result of
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, biophysical chemistry and/or enzyme technology. During the 3-year project, the PhD student will center on enzyme assisted carbon capture. We are looking for candidates with excellent qualifications within some
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University of Munich (TUM) , focusing on cutting-edge research in digital health, wearable sensing, and embedded artificial intelligence. The Project title is ‘IoT-based Assisted Living’ and the main purpose
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-assisted design tools. What We’re Looking For: A strong interest in interdisciplinary and international collaboration, particularly at the intersection of materials science, (reticular) chemistry, and
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and machine learning, you will help develop new methods for understanding complex failure mechanisms—an area where existing industrial knowledge remains limited. The project will be executed in three
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assistant to BSc and MSc courses and co-supervising BSc and MSc student projects. Qualifications In accordance with the abovementioned, you should have qualifications within several of the following areas
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-supervise BSc and MSc projects possibly within areas relevant to the PhD project Provide teaching assistance in BSc and MSc courses at DTU Electro You must have a two-year master's degree (120 ECTS points
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Job Description RISC-V open source and open standards as the nucleus for new platform models help to improve overall flexibility and productivity for a wide market access. Given the challenge