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and food economics (incl. consumer behavior) Sustainable food systems Machine learning, AI and digital agribusiness management International agricultural development The job responsibilities include
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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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, systems approach to food systems transformation, including nutritional, socio-cultural and environmental dimensions strong interest in working with non-science actors as an internationally research
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the benefit of root phenotypes for stress tolerance. Report your work in scientific journals and oral presentations. Your qualifications and skills: You hold a PhD in plant science, crop science
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/preparing the work package reporting, ethics, budget, milestones and deliverables Co-design technology-based solutions with stakeholders and living labs spanning the food system Support living labs
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15 Doctoral Researchers in Food Systems Economics (all genders welcome) Stellen-ID: 2774 Facility: Research Training Group (RTG) 2654 “Sustainable Food Systems” Contact person: Frau Dr. Melanie
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meetings and Policy Dialogues Your Profile PhD in a discipline (e.g. epidemiology, public health, sociology) with exposure to food systems (ideally European) Experience in conducting systematic searches and
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The Leibniz Institute for Agricultural Engineering and Bioeconomy is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food, industrial
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Leibniz-Institut für Agrartechnik und Bioökonomie e.V. | Potsdam, Brandenburg | Germany | 22 days ago
16 May 2024 Job Information Organisation/Company Leibniz-Institut für Agrartechnik und Bioökonomie e.V. Department Human Resources Research Field Agricultural sciences Researcher Profile Recognised
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. As part of the Leibniz-Lab “Systemic Sustainability”, PIK is offering a Post-doctoral/research analyst position (m/f/d)(Position number: 17-2024 Systemic Sustainability) on food systems within