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) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self
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expertise in areas such as approximate inference, Bayesian statistics, continuous optimization, information geometry, etc. We work on a variety of learning problems, especially those involving supervised
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of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret
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. Working closely with partners in the IMPRESS project, you will analyse their materials and provide valuable insights to help optimize device performance. Additionally, you will support collaborators by
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molecular, cellular, biochemical and immunological analyses. · Optimize and troubleshoot experimental protocols and equipment. · Design, execute and document experiments with sufficient detail to understand
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inorganic syntheses Develop and optimize electrochemical experiments and measurements Characterize materials and compounds using standard analytical techniques Analyse data and document results Collaborate
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of uncultured viruses. The research for this position aims to extend this approach to identify optimal assembly conditions for viral capsid assembly fromuncultured viruses. This requires integrating AI-based
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optics system and the Proteros Free Mounting System can be used to control the humidity and optimize diffraction characteristics, including resolution, mosaicity, anisotropy, and reduced X-ray background
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refinement of innovative research methodologies and will independently design, optimize, and execute complex immunologic and molecular experiments across in vitro, ex vivo, and in vivo model systems. Technical
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regulatory elements (e.g. microRNA binding sites) that control gene dosage of haploinsufficient NDD genes, with direct translational potential. Preferred skillset: Experience with establishing and optimizing