36 data-science-cyber-security PhD positions at Chalmers University of Technology in Sweden
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experience that will strengthen your application: Operating filters or reactors Molecular biology techniques Programming, data analysis, and statistics Mathematical modelling Wastewater engineering Contract
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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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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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might be the one for you. In this PhD position, you will explore occupational traffic safety with a focus on employees with driving duties outside professional driving roles. The research examines how
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vulnerabilities and proposing effective defenses, the project seeks to make the next generation of the Internet more secure, resilient, and trustworthy. About us The Department of Computer Science and Engineering
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in the management of technology, people, and organization, and a desire to make groundbreaking contributions to the field of maintenance engineering. PhD Project overview The project focuses
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with real-world applications, in collaboration with Volvo Cars and Volvo Group. This is an ideal position for candidates interested in interpretable AI, safety guarantees, and high-impact research in
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the Division of Vehicle Engineering and Autonomous Systems (VEAS) , with some collaboration from the Division of Vehicle Safety. VEAS is a research division with close ties to the local vehicle industry
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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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We invite applicants to join our team of researchers within the area of maritime environmental science. We are looking for a PhD student to work on cumulative risk assessment of shipping pressures