36 cyber-physical-system-data-mining PhD positions at Chalmers University of Technology
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-scale GAC filter data to aid in system understanding, design, and optimisation. Main responsibilities Conduct research within the PhD project (>80%) Publish scientific articles and present your work
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Proficiency in molecular biology techniques Skills in data analysis, statistics, or programming Background in wastewater engineering Contract terms The position is full-time for 4 years, with the possibility
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We invite applicants to join our team of researchers within the area of energy and environmental systems analysis focusing on the transition towards a sustainable transport sector. We are looking
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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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effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable
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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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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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cross-layer defenses that ensure secure and efficient AI model development at scale. Information about the division The department of Computer Science and Engineering is strongly international, with
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This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering (CSE) , Chalmers University of Technology. The department
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. The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years. Doctoral studies require physical presence throughout the entire study period. A valid