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those made from gene genetic interactions. gRNA design in this context a requires incorporating such networks into the design both concerning on- and off-targets. Project includes collaborators Prof Lars
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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 | 23 days 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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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 2 days ago
is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association. Starting on September 1, 2024 our Department Survey Design & Methodology
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become Canada’s leading comprehensive innovation university. Integral to this path is the placement of equity, diversity and inclusion as fundamental to our institutional culture. Our current academic plan
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) This project will design and evaluate methods for automatically constructing process models that dictate the optimal execution of future business processes, aiming to enhance their efficiency and effectiveness
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/Qualifications Principal tasks and duties: Identification of actors and best practices related to blue biotechnologies. Planning of pilots and living labs on blue biotechnologies. Design of management and
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develop knowledge graphs for data-driven decision-making to rationally design microbial communities for imparting desirable characteristics to plant-based fermented foods in the context of open science and
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/2022/nwo-call-mission-driven-innovation-systems ). Part of a broader consortium, led by VU Amsterdam and involving four universities and many societal stakeholders, this project is part of a work package
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of the position is to create prediction methods for proactive planning of future robot actions and to design robot acting mechanisms for adaptive response ranging from quick and intuitive to slower well-reasoned