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and recovery. Using cutting-edge engineering biology approaches, ELEMENTAL advances research in mining, urban and industrial waste, helping address environmental challenges and create renewable inputs
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, with particular expertise in mammary, hematopoietic and mesenchymal systems. Our research integrates human primary tissues and clinical specimens with complementary in vitro and in vivo model systems. A
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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, the development of innovative technologies, and the effective transfer of research outcomes to society and the industrial sector. In particular, activities include: TL1 – New Materials and Components TL2 – Advanced
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performance. You will be responsible for collecting and analysing energy consumption data from selected industrial sites, characterising thermal energy storage materials using experimental facilities
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National Center for Toxicological Research (NCTR) | Jefferson, Arkansas | United States | about 3 hours ago
on DNA adduct formation, using in vitro metabolic systems and mammalian cell models. These studies will provide mechanistic insights into the structure-activity relationships underlying the mutagenic
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light-matter interactions - support the development and implementation of BECCAL, especially by modelling the system and exploring experimental sequences for the operation of BECCAL during the later
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mechanisms underlying spinal cord injury and recovery. Operating within a highly collaborative and well-equipped environment, you will utilise advanced mouse models to solve complex biological questions
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, including the production of analytic solutions, simulation studies, software tools and training materials. Role Summary Work within the specified NIHR-MRC funded research grant to develop sample size
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 months ago
Office uses literature reviews to synthesize evidence from published literature to support regulatory decision-making. This ongoing project evaluates the large language model (LLM) performance for selected