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                Field
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                algorithms for resource-efficient hydroponics and evidence-based frameworks for integrating green space exposure for improved student wellbeing. This project will potentially enhance urban food resilience 
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                Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys ). The PhD position is focused on efficient algorithms for the simulation of non-adiabatic exciton transfer dynamics in light 
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                behaving animals, with the goal of understanding the rulesets underlying computation in cortical microcircuits. Dr. Zong has extensive experience in cutting-edge optical and laser instrumentation, including 
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                26 Sep 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Computer hardware Computer science » Digital systems Researcher Profile First Stage Researcher 
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                27 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Computer engineering Engineering 
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                Framework Programme? European Union / Next Generation EU Reference Number PR129500 Is the Job related to staff position within a Research Infrastructure? No Offer Description Description: The Energy Systems 
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                system evolution? We are offering six PhDs positions across the department of Mechanical Engineering, Electrical Engineering and Mathematics and Computer Science that focus on solving cutting-edge design 
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                technology for the forthcoming generation of highly energy-efficient computing systems. FeFETs are programmable, non-volatile silicon devices that enable innovative architectures to efficiently execute complex 
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                for Biomarker Discovery: Develop and fine-tune machine learning algorithms for biomarker discovery, cancer classification, and exploring omics features. Collaborative Research: Work in a multidisciplinary setting 
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                interference, while ensuring energy-efficient and scalable operation. This PhD project will focus on developing machine learning algorithms to enable robust channel estimation, intelligent user association