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Europe and beyond to train highly skilled doctoral candidates, stimulate their creativity, enhance their innovation capacities and boost their employability in the long-term. ANT aims to train a network
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data through advanced ex-situ measurement technologies. The group’s ambition is to develop a robust framework for capturing high-quality data from their in-house hybrid additive-subtractive research
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-house database of experimental real-world data enabling large-scale validation of developed algorithms. Wind turbine drivetrains are critical components, and their failures can lead to significant
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? Not funded by a EU programme Reference Number BAP-2025-543 Is the Job related to staff position within a Research Infrastructure? No Offer Description Currently, the IoA is developping and building two
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off-the-shelf sensors and the development of resilient algorithms that combine first-principles modeling with modern machine learning techniques. The goal is to push the boundaries of robust perception
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. The core objective is to develop advanced 3-D modelling and optimisation methodologies for magnetic components that enable accurate leakage inductance prediction and improved overall performance. Traditional
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based
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to financial operations Develop systems for automated regulatory compliance checks, fraud detection, risk analysis, or smart contract orchestration Investigate the integration of agentic reasoning with financial
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preferred. Good knowledge of English is essential. Candidates should be flexible to work at both host institutions, located ca. 50 km apart with a direct train connection in-between. This position is funded