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immunohistochemistry. Flow cytometry and cell sorting. High-throughput screening approaches. Development or optimization of molecular methods. Postdoctoral scholarships may be established for foreign researchers who
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, high-impact, and original research. Research topics include, but are not limited to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization
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Testing and Experimentation Facility (TEF) for the energy field. Specifically, it leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy
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research questions. This postdoctoral scholarship offers the opportunity to be a part of this AI revolution by developing novel neural network architectures specifically optimized for plant genomic data. Our
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computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization or statistics) or integrating data-driven applications to address
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decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy
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together with a Nature-based solution should be evaluated and compared with other tested technologies. One main goal is to optimize existing technologies, combine them into innovative treatment trains
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within built environment Data-driven modelling and computational techniques for optimizing indoor environmental control systems Control of gaseous emissions in livestock housing Excellent programming
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： Recruit and cultivate outstanding researchers and young talents in the field, optimize the structure of research teams, and build internationally recognized scientific teams. Lead teams to conduct high
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of current medical practice. Working with colleagues across Elsevier, such as our Drug Information and Clinical Pathways teams, to optimize opportunities for synergy and consistency across solutions