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foundations and quantum information theory. Your personal sphere of influence: As a university assistant (praedoc) in this 4-year position, you will be part of the Operational Quantum Information Team around
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student engagement and learning, and fosters an inclusive community by using contemporary learning theories, evidence-based practices, and cutting-edge educational innovations. The Centre works closely with
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This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control
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well as an independent researcher. Our work is interdisciplinary, international, and in-depth, but also practical. We offer a possibility to obtain broad and profound expertise, both theory and practice, in the field
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feel at home in political theory its application to empirical and/or qualitative research. Preferably, you also have experience in comparative political research. You can work in a small and close-knit
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) The work will involve novel experimentation, theory and computation in differing proportions depending on the project undertaken. You will be an enthusiastic and self-motivated person who meets the academic
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
, where the dynamics and interactions in biomolecular systems are to be studied. Researcher(s) will work in the laboratory of Dr. Harish Vashisth in the Department of Chemical Engineering and Bioengineering
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at the LPC to make major contributions to CMS in the areas of physics analysis, object identification, software development, detector operations, or detector instrumentation development and construction
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sidemeny Jobbnorge.no needs JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. 31st August 2025 Languages English Norsk Bokmål English English PhD
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desorption mechanisms of various FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property