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Your job Are you looking for a PhD position and do you like to participate in an exciting interdisciplinary research project to discover how different ingredients affect food digestion and appetite
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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Natural Resource (ENR) Group at Wageningen University & Research as a PhD candidate and explore the economic trade-offs involved in the transition to renewable energy. As a PhD candidate, you will assess
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Apply now Are you passionate about the future of education and AI? Join us as a PhD candidate to explore how adaptive AI can enhance innovative teaching and learning. This interdisciplinary project
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at various levels. EAAS is hiring a total of 20 PhD/postdoc scientists to join the team, and our project/group leaders share the ambition of gender parity in hires across EAAS. Within this context we invite
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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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the communicative and emotional demands of social interactions using a multidisciplinary, cognitive neuroscience approach. We are seeking two highly motivated PhD candidates to join our interdisciplinary research
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Organisation Job description Project and job description This PhD position is dedicated to advancing autonomous robotic manipulation and control within a textile-sorting cell, where garments arrive
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that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal