23 postdoctoral-fellowship-in-material-science PhD scholarships at Wageningen University and Research Center in Netherlands
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mechanisms. Our interdisciplinary team at the intersection of chemistry and physics will answer this fundamental question: while a material is just a collection of individual chemical bonds, how do these bonds
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components, that can mimic vital characteristics of living systems and have further biotechnological potential? Are you a creative thinker, eager to tackle an exciting synthetic biology project using state
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Your job Do you want to lead innovative social science research that contributes to circular society transitions in the Netherlands? Are you eager to explore how social contexts can support
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consumption benefits both the planet and society. Current plant-based meat analogues do not fully convince consumers, among others due to a lack of attractive texture and juiciness. This project combines
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completed MSc degree in Physical Chemistry, Physics, Food Science, Materials Science, Biotechnology, Chemical Engineering; knowledge of (food) proteins, and their functional characteristics; research
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Your job Do you want to follow your passion for philosophy of (digital) technology in a PhD study in our Philosophy group? Are you an openminded thinker who likes to collaborate with other
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Vienna-based architect, and in collaboration with international experts in materials science, textiles, design, and engineering and companies at the leading edge of technological development
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degree (MSc) in a discipline relevant to the PhD project (e.g., operations research, operations management, industrial engineering, computer science); Experience with quantitative modelling methods (e.g
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to collaborate with colleagues who have varying areas of expertise, including analytical chemistry,environmental fate of chemicals, ecology, ecotoxicology, statistics and computer science? Then, this vacancy might
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., computer science, electrical engineering, applied statistics, data science or artificial intelligence); hands-on experience with AI algorithms and techniques (e.g., supervised/unsupervised learning) and big data