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now plan to further develop this simulator to support future project planning and operation for safe CO2 storage. In addition, data input to the model to best describe the underground CO2 behavior will
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5.2: Deep Eutectic Solvents (DES) are increasingly being studied for their potential role in lithium-ion battery recycling. DES has limitation for industrial application due to its poor performance in
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experimentation (IMD-3: Institute of Energy Materials and Devices – Photovoltaics) and high-performance computation (IET-3: Institute of Energy Technologies – Theory and Computation) towards the overarching aim
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
-like AI models which can predict DNA structures Performing experiments for validation Participation in conferences in Germany and abroad (incl. presenting your research results) Preparing scientific
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design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and resource-efficiency requirements. This collaborative doctoral project brings together
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-value reinforcements in their short and randomly aligned form. A key challenge to the effective reintegration of recycled carbon and glass fibres into high-performance products lies in achieving scalable
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theoretical models to describe the dynamics of quantum light sources, with the goal of understanding their behavior and improve their performance. You will work in close collaboration with the experimental team
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collaboration Initiative Structured and goal-oriented approach to work Open-minded personality, teamwork and communication skills Above-average academic performance Experience with cell and molecular biology
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(MMICs); research on this will be performed in close co-operation between the University of Twente and TNO. You will be investigating the design of GaN HEMT MMICs in one of three positions. Depending
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Reconfigurable/Spatial computing architectures, such as FPGAs, CGRAs, and AI accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs