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tools and techniques in areas like NLP and computer vision. Prototype and test new solutions to assess impact and feasibility. Help shape policies and strategies for responsible AI use in libraries
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Summary: The Electrical and Computer Engineering Lab Technician provides technical support and assistance with integrated circuit design tools, infrastructure maintenance, simulation, test, and verification
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Supervisor: Professor Fernanda Duarte Start date: 1st October 2026 Applications are invited for a fully-funded DPhil studentship in Machine Learning Interatomic Potentials for Metal-Ligand
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available in the Center for the Chemistry of Molecularly Optimized Networks (MONET) at Duke University. The position will support the development and use of data tools for polymer network chemistry, lead and
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Other Computer Applications: Data Analysis Tools (i.e. SAS, SPSS) Required Additional Knowledge, Skills and Abilities: Preferred Education: If any degree/training is preferred, please specify the type
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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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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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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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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