392 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" positions in Sweden
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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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to the engineering process, ensuring it is current and usable for informed decision-making in circular economy contexts. The research group studies how technology impacts organizations using mixed methods—both
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online. Click the button “Apply” to begin the application procedure. For the application to be complete, the following electronic documents must be included: Covering letter explaining in brief why you are
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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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process and disseminate information about opportunities: from identification of suitable major calls and grant opportunities (especially international, and especially within the EU Framework Programme, now
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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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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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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are looking for a Data Science application expert The position As the data science expert, you will be responsible for developing techniques to process large-scale data, with a particular focus on managing
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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