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team players. Our working style is onsite-based, fostering close interaction and synergy amongst colleagues. If you are eager to contribute to transformative research at the interface of machine learning
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Fellows in the following areas: Areas of interest: Green Societies and Green Transformation; Socio-ecological Diversity; Innovation and Cultural Heritage Conservation, Policy Lab. POSITION RESPONSIBILITIES
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Technologies & Societal Transformations, Resilience, Smart Industry, Learning, and Health – we empower students and researchers to make a positive societal impact. At BMS, we combine critical thinking with
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Intelligence (AI) is increasingly being integrated into project-based work across industries, with the potential to transform how projects are conceived, planned, and delivered. Despite growing interest
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lead to transformational developments for the chemical industry and associated energy technologies. This project, which is funded by the Royal Academy of Engineering, will involve the selection
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: algorithmics, graph transformation and algorithm engineering. Exposure to systems chemistry or systems biology is an asset but not a must. Proven competences in programming and ease with formal thinking are a
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on cells of the innate immune system such as macrophages and neutrophils. In particular, we explore mechanisms of malignant transformation, cellular differentiation and the control of immune cell
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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AI architectures such as Transformers, large language models (LLMs), vision-language models, recurrent neural networks (RNNs), and related techniques. Mathematical maturity: A solid grasp of key
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capabilities needed for truly sustainable operations. Research Question: How can AI-enhanced digital twin technologies with advanced optimisation algorithms transform manufacturing processes to achieve