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Additional Information Eligibility criteria ● A relevant PhD degree in semiconductor physics, material sciences, or similar. ● Hands-on experience with III-V semiconductor deposition processes (e.g. MOCVD, MBE
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of the landscape over time. The LANDIS-II forest landscape disturbance and succession model will be used to perform simulations based on palaeoecological data. The student will collaborate with project researchers
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, The Netherlands) in the lab of Dorota Durek to test an engineered protease inhibitor in an in vitro model of skin scarring. More information on the scientific project is available here: Titre: Elucidation
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. The objective of this thesis project is to develop hybrid models that integrate electrochemical principles with machine learning techniques to analyze data from electrolyzers, predict performance, assess lifespan
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A choice experiment was conducted to assess the role of health information in modal
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model for verification purposes. Non-default partitioning not related to invariance classes will also be investigated with data-driven methods for efficient and automated identification of complex
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4 Oct 2025 Job Information Organisation/Company CNRS Department Heuristique et Diagnostic des Systèmes Complexes Research Field Physics Researcher Profile First Stage Researcher (R1) Country France
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chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must have a PhD in computational chemistry, ideally in material and/or surface science. Experience in modelling
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to animal fungal pathogens and further explore and test the above mentioned characteristics of this model. To achieve this, the PhD student will use the animal fungal pathogen Pseudogymnoascus destructans
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of PhD students and post-docs working on different aspects of seafloor spreading (magmatism, tectonics, hydrothermalism) on a range of time scales, with observational and modeling approaches