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biotransformation PhD enrolment: University of Zagreb DC10: Continuous flow oxyfunctionalisations of allylic substrates catalysed by UPOs PhD enrolment: Aarhus University DC11: Machine learning-based tools
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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Framework Programme Horizon Europe - MSCA Country : France City : 49045 ANGERS Cedex Organisation/Institute Organisation / Company : Institut Agro Department: Applied mathematics and Computer Sciences
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modeling and model–data fusion techniques, and developing faster, machine-learning–based tools that can stand in for slow model simulations. These tools will be used to test how model parameters influence
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into actionable insights, novel tools, and impactful research outcomes. Key Responsibilities Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning
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foundational and advanced Artificial Intelligence topics such as Python programming, data analysis, machine learning, artificial intelligence tools and frameworks, neural networks, and ethical considerations in
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Simulation) will support a one-year applied research project and evaluate a mobile DC microgrid for military tactical applications. The role involves developing detailed power system models in ETAP and MATLAB
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are seeking an experienced and highly skilled Data Scientist with a strong foundation in genomic biostatistics to join our team. This role involves leveraging advanced statistical methods and machine learning
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advantage of AI tools, and build structured data products, used in machine learning and artificial intelligence-based tools for university fundraising. A typical work week will include a large amount of
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efficiency across teams—while ensuring systems are robust, reliable, and secure. Essential Functions Perform security assessments and penetration tests on web applications, APIs, and internal tools used