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We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data
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LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize hallucinations in LVLM outputs for autonomous driving tasks Investigate and propose mitigation
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
photoelectrochemical applications. The project targets the synthesis of metal oxide-based thin film materials, with a strong emphasis on process design, optimization, and integration through the coupling
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agenda on multimodal and multilingual language models. The successful candidate will focus on the development of multimodal, multilingual resources and on the design and evaluation of methods that leverage
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods
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expertise. Your Responsibilities: Conduct research in the field of Multiscale Computational Methods for novel metamaterials as described above Develop theories, methods and computational tools Participate in
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, www.uni.lu ), offering broad methodological training and transferable expertise. Your Responsibilities: Conduct research in the field of Multiscale Computational Methods for novel metamaterials as described
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Designing hierarchical graph‑based models to predict toxicity under uncertainty by linking molecular‑level and system‑level knowledge Advancing causal inference methods to predict transformation products
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in electric fleet planning and management, and in integrated transport and energy management systems. This will likely result in publication of at least three high impact factor journal papers in
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ML frameworks like PyTorch/JAX Genuine interest in MLFFs, simulation methods, and foundational ML research Desired skills: Experience with atomistic simulation codes: ASE, FHI-aims, VASP, CP2K