83 parallel-processing-bioinformatics positions at Chalmers University of Technology in Sweden
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for advanced courses, international research visits, and networking across Sweden’s top universities. Information about the research group The Computer Vision Group at the division of Signal processing and
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. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV Personal
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. The project is part of the WiTECH industry competence centre and is also supported by the European Space Agency (ESA) and the Swedish Space Agency . Main Responsibilities: Develop processes for fabricating
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the Division for Computer network and systems and the employment is placed with Chalmers University of Technology. Our research spans from theoretical computer science to applied systems development. We provide
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fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine
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. Within the division, the Kádár Group conducts research in the broader field of rheology and processing of soft matter. Our ongoing projects center around three main areas: Field–matter interactions
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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
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foundations in all activities at Chalmers. Application procedure The application should be sent electronically and be attached as pdf-files, as below: CV: (Please name the document as: CV, Family name, Ref
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foundations in all activities at Chalmers. Application procedure The application should be attached as PDF files, as below: CV Personal letter Other documents (optional): • Copies of completed education, grades
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500 life cycle experts. We work to advance and integrate life cycle action in all decision-making processes with the aim to enhance resource efficiency, promote a circular economy, and foster innovation