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post-docs that are willing to work on this innovative project at the frontiers between behavioral pharmacology, artificial intelligence and neurosciences. Candidates with strong background in data
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: This project is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
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of their life cycle. Recently, two technologies have emerged that offer new possibilities: high-throughput systems like flow chemistry, which can rapidly generate chemical data, and artificial intelligence (AI
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such as OPAL-RT, as well as experience in applying artificial intelligence and optimization techniques to energy systems for optimization and stability enhancement, is highly desirable Specific Requirements
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or chemical shift selective techniques will be applied to analyze and quantify cerebral metabolites. We also explore the use of artificial intelligence (AI) to improve the resolution of localized 1H NMR spectra
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protein sources, new ways to recycle carbon, nitrogen and phosphorus. Greenowl deploys theoretical tools, from the fields of automatic control and artificial intelligence and combines them with experimental
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: • PhD in Geography (Remote Sensing, Geomatics), Computer Science, Agricultural Sciences • Skills and/or knowledge in artificial intelligence (Machine Learning) and programming: proficiency in Python