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programs, alongside a robust range of outreach activities, and is dedicated to training the next generation of researchers - PhD candidates and postdoctoral scholars. With a permanent staff comprising 12
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This PhD project will develop next-generation grid-scale energy storage solutions integrated into HVDC (High Voltage Direct Current) systems at the University of Edinburgh, in partnership with UK
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: 5+ years of research experience is required 3+ years of experience is required with a Master's degree No prior experience required with a PHD Strong knowledge and experience in understanding and
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Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science, is looking for a: PhD Candidate, Efficient LLM Algorithm, Hardware and System Design (1.0 FTE) Project description We
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embedded systems and hardware engineering teams to integrate AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including edge AI applications. Guide PhD students and
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, maintaining, and communicating semester course schedules and logistics Implementing regular program assessment and evaluation Teach one course in the program Experience & Educational Background: Master’s or PhD
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The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and
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research. Our mission is to generate new insights into human health and disease through integrative data science. The lab is embedded within CeMM’s collaborative environment and benefits from access to state
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and