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Field
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schooling behavior of relatively small fish as they navigate complex turbulent flow fields. Using novel analytical techniques for data processing, using numerical models of varying complexity to expand
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the functions of Pleistocene Expedient Osseous Technology with an innovative approach that integrates tribology with AI". The fellowship will ideally start on 1st January, 2026. The UMR5199 PACEA is a joint
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responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for
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in medical image processing, in particular MRI - Knowledge of MR spectroscopy (or a strong desire to learn it quickly). - Expertise of artificial intelligence techniques and deep learning - Proficiency
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, Nanomedicine & Advanced Therapeutics at the Department of Pharmacology and Pharmacy (several posts) (Ref.: 532606) We now invite applicants to join the Science, technology, engineering, and mathematics Lab
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mathematics, data science and machine learning for image recognition. Moreover, you will develop methods and software that will allow new characterization of nanoscale materials. Therefore, your research will
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or image processing Experience with AI-assisted or feedback-driven fabrication workflows Interest in quantum photonic platforms, electro-optic systems, or light–matter coupling physics Application Materials
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period of 12 months in the first instance, with potential to extend. The project involves advanced theory for new ultrafast imaging experiments and is funded by Engineering and Physical Sciences Research
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electrophysiology, calcium imaging, optogenetics, animal behavior is preferred, but we are interested in applicants with different backgrounds Background in data analysis, image processing, physics, engineering are
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Duties and Responsibilities: Within the predetermined research scope and methodology, conduct research experiments and analyze data in the field of chemical and materials science engineering. Collect and