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Field
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modeling, construction of numerical methods, coding, testing, numerical simulations, and possibly measurements. You will mainly do your programming work in a mixed programming environment, i.e. combining
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of these sensors. - Access to the laboratory's experimental characterization facilities. - A collaborative and multidisciplinary environment at the interface of theory, modeling, and experimentation. Scientific
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familiarity with bioinformatics workflows for microbiome, genomic, or ARG data. Computational modeling & systems thinking Strong quantitative aptitude and interest in agent-based modeling, simulation, and
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systems. Preparation and generation of training datasets based on experimental and simulated Q-OCT data. Development of automated methods for generating training data from experimentally acquired joint
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researchers and doctoral students across 13 research groups. Research at LOE spans materials synthesis and chemistry, theory and modelling, fundamental materials physics, and device development, with
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chemistry, theory and modelling, fundamental materials physics, and device development, with applications in energy, printed electronics, photonics, and bioelectronics. A strong common theme is materials
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sensor data, and (iii) sophisticated fatigue analysis models combining advanced fracture mechanics with crack initiation and growth simulation. Additionally, you will explore fatigue mitigation strategies
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tasks: 1) state of the art of the face finite element modeling, 2) a patient-specific Face Modeling derived from MRI, 3) implementation of multiscale behavior of soft tissue and muscle 4) simulation
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Number BAP-2026-482 Is the Job related to staff position within a Research Infrastructure? No Offer Description In the last decade, ML models taking inspiration from the brain and biological neurons have
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of investigating the relationships between microstructure, processing routes, and thermomechanical performance. The research will combine physics-based modelling and numerical simulations, including thermomechanical