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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
https://www.academictransfer.com/en/jobs/362805/phd-candidate-modulating-plant-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/362805/ Work
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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Aug 2026 - 23:55 (Europe/Amsterdam) Country Netherlands Type of Contract Permanent Job Status Full-time Hours Per Week 40
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texture is explained by physical and chemical properties of food, and you will learn how to measure these using techniques such as rheology, particle sizing, and biochemical assays. You will also undertake
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A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians Aalto University is where science and art meet technology and business. We
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to translate fundamental discoveries into sustainable agricultural applications and to enhance the climate resilience of crops. This PhD position will be embedded in the Bioinformatics and Evolutionary Genomics
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), within the ATLAS group. The PhD student will join a large-scale international collaboration and participate in the activities of the ATLAS experiment at CERN. The work will focus on the analysis of data
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learning mechanisms that drive the common association between chronic pain and insomnia, generating insights with direct impact on clinical practice and patient wellbeing. PhD Candidate Cognitive and
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
and broaden the scope of geophysical models. We will develop a neural solver that dynamically learns to solve the momentum conservation equations. Unlike traditional supervised learning approaches, our
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actively on the preparation and defence of a PhD thesis in the field of explainable reinforcement learning (XRL). Explainable reinforcement learning aims to make decisions, policies, and learning processes
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actively on the preparation and defence of a PhD thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks