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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble
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. The project is jointly supervised within an ETH collaborative initiative, providing the student with regular interaction with the groups of Prof. Dikopoltsev, Prof. Scalari, Prof. Johnson, and the project
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). The heart of this project is to understand how tumor cells interact with their microenvironment, how drugs disrupt those interactions, and answering those questions by developing computational tools. This is
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position Understanding how ecosystems respond to global change is one of the central challenges in ecology. This doctoral project investigates how interactions between plants and seed dispersing animals
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develops LLMs and agentic AI systems for scientific discovery, engineering and physical systems. We investigate how AI can reason about scientific problems, interact with simulation software and support the
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([email protected]). See also https://www.ch.nat.tum.de/pc/research/e-conversion/ and https://www.ch.nat.tum.de/hydrochemistry/environmental-and-isotope-analysis/ for more information. The position is suitable
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
models such as the INFOGEST model and/or the TIM-1 dynamic model, to determine the effect of the food matrix on nutrient bioaccessibility and protein-polyphenol interactions; perform in vitro research
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include: The effect of infall and environmental interactions on protoplanetary discs* Hunting protoplanets from their thermal and chemical signatures with the ALMA telescope* Building a population study of
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We are seeking a motivated PhD student to use single-molecule techniques and computational tools to explore molecular interactions and apply them for therapeutic applications. Job description We
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning