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gas analysis, a GC/MS, and an HPLC/MS. DFT calculations will be performed using annual allocations on national high-performance computing centers. More details here: https://iramis.cea.fr/en/nimbe/lcmce
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appropriate field. You will work on the project “Data-Driven Micromagnetic Modelling”. Your job This study contributes to SPARK, an ERC Consolidator project that aims to unlock magnetic information stored in
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business problem scoping to deployment and monitoring of production-grade models-with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and
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to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https
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project will investigate the use of multimodal large language models and fuzzing for metamorphic security testing. The successful candidate will join the SVV research group, headed by Prof. Domenico
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and Engineering Sciences at the University of Bonn, Germany, invites applications for a full W3 Professorship for Functional and 3D Modeling of Plants to be filled at the earliest possible date
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coxsackievirus B3, echoviruses and rhinoviruses as model systems. The role includes generating and analysing protease-deficient viral mutants, integrating proteomics and RNA biology, and collaborating with
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Job related to staff position within a Research Infrastructure? No Offer Description Development of theoretical models to describe the collective migration of immune cells Development of models
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of Chemistry is a leading international centre for chemical kinetics and its applications. (https://eps.leeds.ac.uk/chemistry ) Task description for your Individual Research Project (IRP) Problem Definition
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knowledge through attention mechanisms within transformer networks. Traditional data-driven models struggle with convergence and generalisation due to limited contextual understanding. Earth observation data