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Assistant Professor to carry out duties related to the simulation infrastructure of the ATLAS experiment at CERN in Geneva, Switzerland. These include development and coordination at the international level
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through advanced analytics. This five-year initiative (2023-2027) is mainly funded by the Grains Research and Development Corporation (GRDC) with a $36 million investment and builds on the previous
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photocatalyst performance under realistic conditions. This PhD project focuses on developing and integrating high-throughput photoelectrochemical (PEC) screening and photocatalytic system to evaluate
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environmental toxicology, you will have the opportunity to advance Adverse Outcome Pathways (AOPs) and support the development of New Approach Methods (NAMs), thereby contributing to a more sustainable and
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PhD scholarship in Mid-Infrared Frequency Comb Technology for High-Sensitivity Sensing – DTU Electro
partners. Responsibilities and qualifications Your main focus will be to strengthen the department’s expertise in ultrafast lasers and frequency combs while developing innovative solutions for high
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this project, you will develop the next generation of federated machine unlearning algorithms—methods that can efficiently deliver genuine, verifiable, and robust erasure without sacrificing model performance
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explaining issues clearly or prioritising them by player impact. This collaborative doctorate (University of Surrey, SAHCI, and Sony Interactive Entertainment, SIE) will develop a QoE-driven agentic AI
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-flavanol cocoa product developed by an industry partner. Unlike previous research, it enables investigation of dose–response effects within realistic dietary intake. This interdisciplinary PhD spans
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families and communities. KWY operates across a range of sectors including child protection, family violence, education, and community development. The organisation is grounded in cultural integrity
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performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will