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, spatter, size). The research will evaluate whether a single model suffices or if subclassification using multiple models is required. For this function, our Brussels Humanities, Sciences & Engineering
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graph using RDF, OWL, and related technologies Designing and implementing workflows for data ingestion, integration, and querying across multiple systems Driving use-case studies that demonstrate
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scale multiple country energy systems, PtX and renewable fuel production. Strong writing and presentation skills. A willingness and desire to engage in interdisciplinary collaboration and teaching. Good
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for a part time position (75%) for an initial period of three years as soon as possible: About us The TUM Campus in Heilbronn is part of the renowned Technical University of Munich, which is one
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Position Description The Unsteady Flow Diagnostics Laboratory (UNFoLD) led by Prof. Karen Mulleners at EPFL in Lausanne is looking for multiple PhD students to join the group in the fall of 2025 or early
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extended from cloud solutions (such as OpenLLMetry), the research question is how to identify anomalies in collected information that can come from multiple AI services either invoked manually by users or by
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scientific computing is a plus Strong interest in quantum computing and molecular simulations Willingness to work in an interdisciplinary, international team Fluent command of written and spoken English High
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optimization. Experience with energy system modeling - ideally of large scale multiple country energy systems, PtX and renewable fuel production. Strong writing and presentation skills. A willingness and desire
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collections interact with power, knowledge, and ongoing processes of heritagization. The candidate is encouraged to develop new methodologies that center community-led, ethical, and innovative approaches
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will work on the design, development, and testing of integrated systems that may include laser generation and stabilisation, RF control, PID systems, and embedded electronics. The work aims to improve