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Field
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experimental protocols, including MR pulse sequence optimization and/or data acquisition strategies. Conduct MRI and/or high-density fNIRS measurements in healthy participants, following best practices in
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, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor function in interaction with graphene
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at DTU within the BUG-ID network (DCs 2, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor
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engineering Engineering » Control engineering Mathematics » Applied mathematics Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application
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Are you fascinated by the large role software plays in the control of high-tech systems? Are you eager to contribute to improving supervisory controller development, and making it more structured
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position aims to conduct holistic modelling and analysis of integrated energy systems to reach optimal system performance while incorporating various sustainable energy infrastructures. Potential research
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
engineering. We are looking for talented people to join us. Your responsibilities include: Setting up automated, laboratory scale reaction processes for synthesizing and optimizing nanoparticles and
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 12 days ago
well as automated error control and related CPU time savings in flow simulations is nowadays well established. There is however an essential element which must absolutely be taken into account to tap
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decisions between UAV–USV agents, using principles from game theory and multi-agent systems, to optimize cooperation and dynamic task allocation. Signal processing and control algorithm implementation
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for additively manufactured switched reluctance machines. The project focuses on optimizing the selection control method according to the machine design. Also, the control method will be used as an input