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Field
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focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in
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candidates will be working with a team of researchers on a range of topics, including artificial intelligence, RF sensing and communications, multimodal UWB RF signal data analysis, and wireless sensing
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, artificial intelligence, computational biology, bioinformatics, computer science or a closely related field; strong hands-on experience with deep learning and modern representation learning, preferably
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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platforms a plus Experience applying machine learning, artificial intelligence, and large language models to research a plus The anticipated start date is September 1, 2026. The postdoctoral position incoming
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Qualifications The prospective postdocs should have a PhD degree in a related field, and have research experience in artificial intelligence, machine learning, bioinformatics, and computational biology. A strong
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of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building
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scientists. You meet the following criteria: • a PhD, or a PhD close to completion, in machine learning, artificial intelligence, computational biology, bioinformatics, computer science or a closely related
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. Artificial intelligence (AI) is evolving rapidly, and we recognise its growing role in professional work. Applicants may use AI tools to support preparation of their application, for example to research
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fields: Agentic AI, Large Language Models, Artificial Intelligence, Biomedical Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, Biomedical Informatics or a related field