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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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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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project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will
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, modelling, and understanding the function of the nervous system. The field encompasses hardware-oriented instrumentation, signal and image processing, data-driven and physics-based models, as well as clinical
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application! We are looking for two PhD candidates in the research environment “Culture and Society” with a focus on Digital Society, Infrastructure, Legacies. Your work assignments We are advertising two PhD
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events. Support the development and maintenance of a training portal or digital learning environment. Contribute to reporting and documentation within national and European initiatives. Impact & Quality
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as evidenced by earlier research publications; Creation of virtualised container-based testbeds for experimental research on network security, integration of industrial use cases and digital twins, AI
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. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential
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assignments Your main tasks will be to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog
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employed in the Cybersecurity division with close to 50 members at the department of Computer and Information Science (IDA) . You will carry out research together with Simin Nadjm-Tehrani, Professor in