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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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neural network types for efficient hardware implementation Developing an FPGA-optimized design Performing device-aware training using both simulated and measured datasets Validation of the complete
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CPlantBox and with data from the TERENO SoilCan lysimeter network , including soil water status, evapotranspiration, sap flow and leaf water potential. Your Profile A Masters degree in bioscience
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designing and evaluating machine learning models for benchmark grids and, depending on data readiness and project progress, by testing them on a real campus network with high-quality consumption and
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Your Job You will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 Ph.D. students at 7 universities, one research center and
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Your Job As part of this project, you will fabricate and characterize novel microscale liquid crystal elastomers (micro-LCEs) based on charged microgels with tailored polymer network architectures
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background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas networks, or coupled multi-energy systems Proficient in programming
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Your Job Develop a reinforcement learning (RL) controller for a liquid–liquid gravity settler, trained entirely offline in a simulated environment Use existing physics-informed neural network (PINN
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, contributing to catalyst synthesis Networking & Exchange : You will participate in (international) conferences and project meetings and actively build your scientific network Work-life balance : Flexible
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the opportunity to participate in (international) conferences, schools, and project meetings and actively build your scientific network Supervision & Support: We will accompany your doctoral studies