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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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analysis of complex biomedical datasets. The research environment is highly interdisciplinary, bringing together expertise from machine learning, statistics, data science, and healthcare research
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analysis of complex biomedical datasets. The research environment is highly interdisciplinary, bringing together expertise from machine learning, statistics, data science, and healthcare research
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the analysis of images collected within the project to validate the new tools, in collaboration with cryo-EM practitioners. Additionally, the postdoc will work on developing new tools for the analysis and
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neuromodulation therapies such as deep brain stimulation. The team combines intracranial recordings and EEG, brain imaging, brain stimulation, modelling and advanced signal analysis to link neural dynamics
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/ X-ray crystallography and natural product research is required. Knowledge in enzymology, protein design, molecular biology, microbial metabolism, natural product analysis (LCMS, NMR etc.) and/or
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facilities for data acquisition v) Contribute to the analysis of structural data vi) Contribute to the dissemination of results (rapid publication expected) The project will be carried out at IGDR (Rennes
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proof theory and functional and numerical analysis, through the semantics of differential linear logic and programming languages. In particular, this project seeks to lay the foundations for a
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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of food ingredients. The research is focused on structural and physical aspects of food ingredients and food matrices using high resolution microscopy and image analysis. We are seeking a highly motivated