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digestate, advancing the technology from bench to pilot scale (TRL 4–5). The work encompasses three main areas: (1) process optimisation, using AI-assisted experimental design to identify optimal operating
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, modelling, fabrication, prototyping, measurements or experimental validation. Additional merits include machine learning, optimization, signal processing, numerical acoustic simulation (for example FEM/BEM
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the research team; contributing to the optimization of the investigated enhancement geometries; disseminating research outcomes through publications in leading international journals and presentations
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computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and develops high-end
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of sensorimotor processing. We are recruiting two postdocs: Postdoc in Computer Vision & AI for Behavior Analysis Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities
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operating procedures (SOP), build capacity at the KZN sequencing facility by train staff members in the development and implementation of the optimal sequencing workflows at the KZN laboratory. You will
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department
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production processes, notably focusing on optimizing growth conditions and improving overall process sustainability. WHAT WE ARE LOOKING FOR You hold a thesis-based doctorate in bio-engineering, biotechnology
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supervision. Develop and optimize instrument methodologies and data analysis. Disseminate findings via presentations and peer-reviewed publications. Work with colleagues in the development of joint research
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resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the University at Buffalo . Learn more: Our benefits , where we