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the computational models, and for informing new in vitro experiments. As a PhD candidate, you will become an integral part of a dynamic and multidisciplinary environment of engineers, biologists, and clinicians
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‑on experience in AI / machine learning development (excluding PhD); proven expertise in machine learning and generative AI methodologies (in the range of: LLMs, RAG systems, agentic AI, feature engineering, model
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Do you have a keen interest in flavor chemistry? Do you want to contribute to the flavor of next-generation plant-based meat analogues? We are looking for an enthusiastic PhD student to study how
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PhD: Spatial Optimization of Land Use in Brazil Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 13
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implementation of your research. Limited teaching responsibilities are also included in the position. As a PhD candidate, you will join the Railway Engineering Section within the Department of Engineering
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and implementation of your research. Limited teaching responsibilities are also included in the position. As a PhD candidate, you will join the Railway Engineering Section within the Department
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motivated and an enthusiastic researcher (F/M) You have an MSc degree in electrical engineering, mechanical engineering, applied physics, or materials science You love to do experiments You have good team
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, and materials science. In this PhD project, you will: § Develop an experimental platform to study 3D self-organization of active particles. § Fabricate and characterize light-driven microswimmers
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material technologies. As a PhD candidate, you will join the Materialising Futures section within the Faculty of Industrial Design Engineering at TU Delft. Your project will build upon internationally
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23 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Materials engineering Researcher Profile First Stage Researcher (R1