18 component-labeling-cuda PhD positions at Wageningen University and Research Center
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ingredient processing and new product development e.g. aimed at achieving a desirable satiety response. Your duties and responsibilities include: you will conduct in-vitro experiments to measure the (gelling
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ecorating labels (e.g. Ecoscore, Inoqo, Mondra, Carbon Cloud etc.) is a plus. Even if you do not meet all the listed requirements, we encourage you to apply. Your skills and experience may still be a valuable
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University, expert on design for circular and sustainable consumer behavior), depending on your needs and wishes. One part of the project focuses on developing agent-based models for product imperfection
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are seeking a PhD candidate in communication science who will combine a substantial interest in political communication with strong methodological skills. The PhD position is part of the VIDI-funded project
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a key part in making our food system more sustainable. You also bring: A completed relevant academic degree; a PhD is an advantage Extensive experience in a research role and affinity with poultry
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Sen (Physics of Soft Matter lab ). You will be part of a small and highly interdisciplinary team. The project offers opportunities for local and international collaboration, guaranteeing a dynamic
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to regenerative agriculture, including biological indicators that are often neglected in soil health monitoring programs. You will be part of a team of PhDs focusing on modeling soil processes at different scales
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conducting insect field studies across varied environments Ability to work independently and as part of an interdisciplinary team Good proficiency in English (both oral and written) For this position your
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Procedure An assessment may be part of the selection process. Welcome, Safe, and Valued Wageningen University & Research (WUR) places great importance on diversity and inclusion. We believe that diverse
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Your job As PhD candidate, you will be part of the project SHIELT – Shelf-life for plant-based meat alternatives. This project aims to develop predictive microbiology and risk assessment tools