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appropriate languages and software, such as R, and of designing, developing or refining experimental methodologies to generate reliable and reproducible data. They must be able to analyse, critically evaluate
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structure-activity relationships, water and seawater electrolysis, and integrated solar-to-fuel systems. The Role Working closely with Dr Doudou Zhang, Professor Vladimir Strezov and a growing network of
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creating new opportunities for therapeutic discovery and development. We are particularly interested in candidates with expertise in biochemical, biophysical, cellular, structural, and/or proteomic
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to provide complementary regenerative functions. The specific objectives of the project are to: Fabricate and validate 3D-bioprinted polymer scaffolds with appropriate structural and physicochemical properties
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. Current research directions include AI- and data-driven discovery of multielement catalysts, amorphous catalyst structure-activity relationships, water and seawater electrolysis, and integrated solar
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 8 hours ago
structured learning opportunities in regulatory science and computational modeling applications in drug development and use of artificial intelligence for data mining. You will gain experience in regulatory
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advanced visual perception methods for reliable object detection, scene understanding, and interaction under adverse environment conditions. The goal is to enable fully autonomous execution of complex
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materials, the design and construction of optoelectronic devices, as well as characterization and testing. The main objectives include: 1. Controllable synthesis of high-quality 2D materials and
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systems, and climate-change adaptation. The project aims to develop and validate energy micropile retrofit solutions that can support the decarbonisation of existing buildings by combining structural
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research in corporate or governmental collections & a publication record commensurate with career stage. Ability to build & manage structured historical datasets, including quantitative material from ledgers