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Field
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of performance, speed, and precision. Key Responsibilities: Design and implement genAI models for embodied AI systems. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks
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materials integration, nano-enabled coatings and multifunctional composites. The main duties foreseen are: Design, synthesis and optimization of Cu-Metal-Carbon interfaces in copper based nanocomposites
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been extensively studied in game theory, reinforcement learning, and optimization, their full integration into modern AI systems (particularly in multi-agent deep learning and human-AI collaborative
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, creation of graphical abstracts, diagrams, and infographics, as well as basic knowledge of web interface design (banners, icons, optimized images). In case the BSc degree was awarded by a foreign higher
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structured around two main pillars: Network resilience and sovereignty, i.e., research on networking architectures and mechanisms that keep critical networks and applications they support running optimally
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, complex hydrodynamics and hydroacoustics, data assimilation and multi-disciplinary optimization, and autonomy. We seek talented, motivated postdoctoral applicants from all areas of engineering, math
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, National University of Singapore. Key Responsibilities • MMV system performance evaluation and optimization in tropical climates. • Design and conduct thermal comfort and indoor environmental quality
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for teamwork, problem-solving, and collaborative relationships Strong technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless
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outcomes using both imaging and molecular biology methods including confocal microscopy and RNAscope Design and conduct any downstream, secondary assays for hit validation and lead optimization. Work with
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the research for the project on robot human teaming. Key Responsibilities: The Research Fellow will work on a project to conduct research for human robotic teaming, in particular: Perform optimization