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two-dimensional (2D) materials such as graphene, a-RuCl3, and transition metal dichalcogenides (TMDs). This PhD project is highly focused on methodology, resolution enhancement, and reproducibility. It
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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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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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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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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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multidisciplinary research initiative focused on developing intelligent assistive technologies driven by brain-inspired computing. The broader goal of the project is to enable seamless interaction between humans and
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joint projects Co-supervise BSc and MSc student projects and contribute to the teaching at our institute Present research results at international conferences and workshops Engage in knowledge transfer