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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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, and second-life applications, ensuring both scientific impact and industrial relevance. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part
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application! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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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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class sessions, assisting teachers in class sessions and laborations, assisting teachers at seminars and marking exams in Quality Management and Engineering courses. Work may also include lighter forms
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to the development of several innovative doping methods. More broadly, the research aims to understand and control how molecular interactions, ions, and charge transfer processes determine the electronic properties
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. Application procedure Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than May 18th 2026. Applications and documents received after
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, where AI models are trained without having all data in a single computer. This makes it possible to use larger datasets for training, without sending sensitive data between hospitals. The goal is to
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, machine learning, signal processing, and control engineering. Experience in implementing and integrating different methods in complex systems is considered meritorious. You should be clear in your
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application! We are looking for a research engineer within the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science. In this position, you will have the