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molecular analyses, as well as lab work with pesticides and antibiotics. The project will be performed in close collaboration with researchers at the Department of Biology at Lund University. Qualifications
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high-quality scientific publications and actively seeking external funding to support and expand research activities. Your profile You should hold a PhD in medical sciences, biology, molecular biology
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conversational guides for enhancing visitors’ learning and experiences in public educational environments. The PhD student will focus on addressing the challenge of visual blindness in large language models (LLMs
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applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery
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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
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previous work with supporting publications is a necessary: Development of DNA-based molecular robotic machines to carry out specific tasks with regulated functionality for various biological applications
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, biochemistry, cell biology and molecular biology (see www.upsc.se). Project description Photosynthesis drives life on Earth by converting solar light into chemical energy and providing the molecular oxygen we
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projects are multidisciplinary in nature, and the ideal candidates are comfortable with moving outside their field to understand both molecular biology and computational methods. We rely heavily
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develops an adaptive AI-guided XR platform for capturing and transferring expert manufacturing knowledge. Your focus will be on developing AI methods for analyzing and modeling human workflows based on data
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address outstanding questions on behavioural evolution in canids. Your work assignments Understanding how behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model