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are searching for highly motivated Systems Engineers with experience in Model‑Based Systems Engineering (MBSE) to join our Systems Engineering Department in the Undersea Systems Office at the Applied Research
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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satellite navigation) to support efficient, flexible, and safe AI-driven assistance. As part of this master's thesis, you will investigate how world models can be brought to field robotics using real-world
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aimed at developing new simulation models and methodologies for innovative powertrain technologies—both thermal and hybrid (thermal-electric)—suitable for road transport vehicles, marine transport, or off
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advanced statistical modelling, econometrics or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable
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World models are becoming an important direction in artificial intelligence and robotics. Instead of responding only to what is currently observed, an intelligent agent can use an internal model
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data analysis, and artificial intelligence for medical sensing systems Modeling, simulation, and analysis of biophysical processes as well as medical sensing and communication systems Development
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Vision-Language-Action (VLA) models are changing the way robots perceive their surroundings, interpret instructions, reason about tasks, and interact with the physical world. By bringing vision
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Empa within the framework of SURPASS are as follows: Volumetric prestressing of cast and 3D-printable SURPASS overlays using Fe-SMA fibres. Meso-scale finite element modelling of volumetric prestressing
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excellence, reflected in first-class student education, along with world-leading research that has a real impact around the globe. Do you have expertise in advanced statistical modelling, econometrics