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: machine learning, data analysis, statistical modelling, explainable AI, computational methods for large-scale data, and analysis of biomedical or population-based datasets. An interest in applications in
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AI hardware beyond traditional computing architectures. Gain a unique combination of skills in mathematics, machine learning, and photonics. Be part of a multidisciplinary research team spanning
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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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methods for understanding biological form, function, and evolution. The project combines computer vision, machine learning, genomics, and biomechanics, and involves large-scale multimodal datasets including
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proficiency in scientific programming (e.g. in python) and must demonstrate the ability to handle large amounts of data confidently and systematically. Previous experience with machine/deep learning will be
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different areas of AI (such as machine learning, computer vision, natural language processing, and bioinformatics), hosting powerful computing facilities internally and as part of the EU EuroHPC supercomputer
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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large medical datasets, and also gain knowledge on how AI can be used in healthcare. The position involves many different types of meetings with other PhD students, researchers, supervisors, and
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, machine learning, and photonics. Be part of a multidisciplinary research team spanning science and engineering. Access state-of-the-art laboratories and high-performance computing facilities. Gain
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is enabling major advances in clinical pathology and cancer diagnostics. Today’s AI methods require large amounts of data with a detailed ground truth annotation that the AI system can learn from. In