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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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position is part of the Artificial Intelligence for Operations Research (AI4OR) group at Aalborg University. The successful candidate will engage in cutting-edge research conducted in close collaboration
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, and the PhD Students will be positioned in the Esbjerg Energy section. The positions are part of the ABBA USV project and are open for appointments from the 1st of March 2026 or soon hereafter
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Job Description Would you like to be part of the solution to the green energy transition? Join us in developing technical solutions that facilitate the integration of more renewable power plants
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of such latent thermal energy storage. This installation will be taken into operation in March 2026. To optimize the controllability of cold storage using phase change materials, a novel charge determination
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communication engineering. Experience with applying machine learning to classical or quantum communication systems, as well as hands-on experimental work, will be considered an advantage. The goal of the project
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is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be
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the photochemistry and reaction kinetics of novel reducing agents Evaluate PFAS degradation pathways, defluorination efficiency, and byproduct formation Optimize operating parameters to enhance process performance and
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students to work on theory of polaritons and light–matter interactions, and in particular topics related to Mie-resonant photonics, electron-beam spectroscopies, chiral polaritons, nonlinear optics, quantum
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of millions of combinations of control parameters, determining the optimal values to maximize stability, efficiency, and dynamic performance. The ideal candidate will have experience or an interest in