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Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work may include clinical and biomedical projects. It may also include technique development
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weaving, knitting, dyeing, and clothing. You should have basic knowledge of electronics and a good ability to collaborate with internal and external parties, take initiative, work in a structured way, and
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a well-established pre-school structure as well as an educational system that provides no-cost education through university studies. Find out more facts and stories about Sweden at www.sweden.se
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interested in candidates focusing on additive manufacturing, construction materials, materials for energy storage, and AI for materials chemistry. You will receive an attractive starting package via the WISE
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(approx. 80%) in the recycling of bio-based residual streams into textile fibers, yarns, and structures. AI support in the process chain: develop and apply image analysis and sensor technologies (e.g. RGB
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publications see here: https://www.scilifelab.se/researchers/stefanos-stagkourakis/ Essential technical expertise (Required) This position is intended for candidates who can immediately operate at a high
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, to support your research endeavors. Finally, you will receive consistent and structured mentorship to support your career goals. Applicants with an international background are more than welcome to apply. As a
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conferences, as well as opportunities to participate in pioneering interdisciplinary projects. More information about the doctoral programme is available on the department’s website: (https://www.iko.lu.se/en
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that shape our understanding of the world, from abstract structures to concrete models of reality. Mathematics and statistics are essential across natural sciences, technology, social sciences, economics, and
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original research in the area of AI-based program construction or performance engineering, co-supervise one or more doctoral students, teach in the first- and second-cycle software engineering programs