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solutions. This includes software-defined SoS for the automation and digitalization in production industries. Our research is conducted in close collaboration with industries such as Bosch, Ericsson, Volvo
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large language models (LLMs)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create
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)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create multimodal systems. The emphasis is
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. Our group is fascinated by one of biology’s deepest questions: how does development—the process by which genes and environments build organisms—shape the potential for populations to evolve? We study
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visibility across distributed systems. -Security measures for hybrid cloud-to-edge architectures to protect against diverse threats. The projects aim to further digitalize the European industry, where EISLAB
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focused on mass spectrometry and development of new techniques for mass spectrometry imaging and single cell mass spectrometry to reveal chemical processes of importance to biological function and
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. They involve high-stakes decisions with important trade-offs and uncertainties. They are also challenged by the data sampling process which gives rise to distribution shifts when comparing past and future data
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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SEEC, as well as to coordinate the processing, analysis, and presentation of surveillance data to the research community, stakeholders, and the general public. In addition, the role includes producing
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consequences of keel bone deviations: What impact do these have on hen behaviour and wellbeing? high-tech welfare assessment: Help develop a non-invasive computer vision method to track and analyze how hens move