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can be found on the PI’s website: https://aobol.github.io/AoboLi/ The position builds on the group’s recent development of SIDERIUS, an agentic framework for long-horizon machine-learning development
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opportunity to be involved in challenging development projects. Qualifications To be qualified for the position, you must hold a PhD degree in Control Engineering, Computer Engineering, Mechatronics
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a project focused on implementing advanced models of soft magnetic materials in accurate simulation software. The developed laminated‑steel models will be evaluated using an experimental setup
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considered. You must have a two-year master's degree (120 ECTS points) in Mechanical Engineering, Manufacturing Engineering, Computer Science, Data Science, Software Engineering, or a similar degree
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with strong computational skills in computer vision, deep learning, image processing, and scientific programming. The successful candidate will work primarily on computational pathology and multimodal
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The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research
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expect you to hold an MSc in computer science, software engineering, or a closely related field, or to complete one before the start date. The core of the work is programming languages and software
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immersion in a collaborative clinical research environment. Applicants should have, or defended the viva of, a PhD in computer science, artificial intelligence, medical image analysis, biomedical
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accordance with this, and expected to be in the upper segment of their class with respect to academic credentials. Required qualifications: Master’s degree or equivalent in Computer Science and equivalent
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, and contributing to open-source releases of software, trained models, and reproducible research outputs. The research methods will include experiment design, software implementation, running deep