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, alignment, evaluation). Design multi-MLLM collaboration methods (knowledge transfer/distillation, federated learning). Build efficient training/benchmark pipelines and report results with clear metrics. Apply
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to maintain excellence in research in mathematics and computer science. Skilled research staff working at this frontier research field is an essential human resource towards generating new knowledge and
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equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge of deep learning, specifically, foundation models
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/Ph.D. degree in Chemical Engineering, Physical Chemistry, Materials Chemistry, or a relevant field. Experience in operating thermal catalytic reactors is required. Extensive knowledge in operando and in
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The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary
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). Understanding of IoT integration, metering protocols (Modbus, MQTT), and DER operations. Knowledge of cryptography, consensus algorithms, and security best practices. Prior experience in energy markets
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., atomate2, AFLOW). Extensive knowledge of graph-based machine learning models for interatomic potentials, along with experience in generative models for the inverse design of inorganic materials. Proficiency
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player Excellent teamwork and verbal, written communication skills In-depth knowledge relevant to the project domain. Demonstrated capability to conduct innovative research. The ability and willingness
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basic research training Collaborate with faculty and researchers across CCEB and other institutes Support the overall research mission of the lab by contributing to technology development, knowledge
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for quantum technologies. Develop and prepare detailed product design drawings using AutoCAD. Apply optics and electronics design knowledge in the development and optimization of quantum technology