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) properties and the digestibility (rate and extend of bioavailability). The results will be used for data driven machine learning, in collaboration with other partners in the project. Who are we looking for? We
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the research project (DIGIFABA) group combining expertise in agronomy, statistics, and machine learning consisting of three PhD fellows, two postdocs, the supervisor and co-supervisor from the department and a
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(more...) High Energy Physics / Machine Learning , Theoretical Particle Physics Fundamental Theory/Cosmology Appl Deadline: (posted 2025/01/20, updated 2025/01/19, listed until 2025/07/01) Position
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us to explore the relation between the degree and type of processing, and the foods that result from their use. The results will be used for data machine learning, in collaboration with other partners
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involves the use of quantum chemistry, machine learning, and genetic algorithms to search for new homogeneous chemical catalysts. Who are we looking for? We are looking for candidates within the field
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will contribute to, and lead, include: Building and operating ultra-high vacuum and laser systems. Building electronics and automation schemes. Learning/operating fabrication and characterization