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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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multiple subfields represented, including animal behaviour, evolution, ecology, genetics, zoology, conservation, microbiology and animal welfare. See: https://liu.se/en/organisation/liu/ifm/biolo
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data sharing platform developed in earlier projects, the student will develop interfaces for interacting with the ontologies, and related datasets, in a user-focused manner. This will involve both
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prominent approach to AI, with impressive performance in many application domains, including materials discovery. This development has a huge potential for societal impact, with applications in renewable
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research, undergraduate and postgraduate education within the field of biology, with multiple subfields represented, including animal behaviour, evolution, ecology, genetics, zoology, conservation
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to the construction logistics unit, which includes two research areas: Construction supply chain management and logistics (https://liu.se/en/research/construction-logistics ) and Urban development and logistics (https
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us at the Laboratory of Organic Electronics (LOE) for the PolyKinetics project, where we’re developing soft, biocompatible electrodes that form directly in living tissue. What we offer: ✅ Work with
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We are seeking a highly motivated and talented postdoctoral researcher to join our team in developing novel organic bioelectronic electrodes for interfacing with the nervous system. This position is
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social science relevance is also considered particularly advantageous. To contribute to theory formation in CSS, documented work on the development of social science concepts is considered particularly
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social science relevance is also considered particularly advantageous. To contribute to theory formation in CSS, documented work on the development of social science concepts is considered particularly