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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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National Center for Toxicological Research (NCTR) | Jefferson, Arkansas | United States | about 14 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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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
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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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independent research projects focused on the somatosensory system Conduct experiments in mice and rat models, including electrophysiology, live imaging, and behavioral studies Apply molecular biology techniques
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learning methods for process automation within SharePoint and Microsoft enterprise platforms. Under the guidance of a mentor, the participant will explore research approaches related to large language model
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MD or MD/PhD) Skills and abilities • Prior experience with mammalian tissue culture, DNA/RNA molecular assays, protein biology, mouse models, and omics datasets is desired • Exceptional
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, to becoming more involved in the bioinformatic and analytic aspects of predictive modeling. As such, the Postdoctoral Computational Biologist should have a willingness to learn new languages and tools as the