130 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Chalmers University of Technology in Sweden
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FieldMathematicsYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteChalmers University
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large animals with similarly built brain vessel network as humans are necessary to obtain a relevant information. This is a pilot trial in which the sheep will be anesthetized and continuously monitored
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Systems and Control division focusing on data-driven control methodologies. About the research project Model-based control is arguably the prime framework to perform certifiably-safe regulation of dynamical
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Join us at the National Centre of Excellence CHARMEC for an exciting and excellent Doctoral student journey to outline future use of sensor data on railways! About us Your workplace will be
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at the division of Computer and Network Systems , where we design secure, dependable and high-performance computer and communication systems that meet the demands of an increasingly digital and interconnected world
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FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteChalmers University
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aspects of all our activities. If you want to learn Swedish, Chalmers offers Swedish courses to help you settle in. Discover more Find more general information about doctoral studies at Chalmers here . Join
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FieldPhysicsYears of Research Experience4 - 10 Research FieldPhysicsYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number
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Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification