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Job description:Title: DC13, PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game to support the
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French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas | France | about 22 hours ago
Job description:Title: DC9, PhD fellowship in the design of Information Extraction Tools to characterise molecules produced or degraded by microbes and applications to plant-fermented food
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, COMMISSION OF THE EUROPEAN COMUNITIES. TASKS TO BE PERFORMED: The researcher will develop the theoretical modelling and design of protocols for the control and experimentation of NV centres in diamond: - Study
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centres and private companies to enable the FAIRification of omics data and databases interoperability and develop knowledge graphs for data-driven decision-making to rationally design microbial communities
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between Portugal and CERN, reference 2024.00270.CERN. Work plan: The AMBER/COMPASS project, coordinated by Dra Catarina Quintans from LIP – Laboratory of Instrumentation and Experimental Particle Physics
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is funded by the University of Bergen and is part of SFI Smart Ocean , a centre for research-based innovation. About the project/work tasks The PhD project has work title Wideband Methods for Complex
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Department of Food & Nutritional Sciences, University of Reading | United Kingdom | about 21 hours ago
to rationally design microbial communities for imparting desirable characteristics to plant-based fermented foods in the context of open science and its regulations. The FAIROmics training programme aims
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centres and private companies to enable the FAIRification of omics data and databases interoperability and develop knowledge graphs for data-driven decision-making to rationally design microbial communities
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companies to enable the FAIRification of omics data and databases interoperability and develop knowledge graphs for data-driven decision-making to rationally design microbial communities for imparting
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, research centres and private companies to enable the FAIRification of omics data and databases interoperability and develop knowledge graphs for data-driven decision-making to rationally design microbial