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Field
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learning and one PhD student with a keen interest in the algorithmic side of hyperbolic deep learning. Tasks and responsibilities: Conduct high-impact research on hyperbolic deep learning for computer vision
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novel sensing to land, rest, and collect environmental data efficiently, extending mission duration in natural, unstructured settings. Job description We are seeking a motivated PhD candidate to join a
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26 Oct 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Informatics Computer science » Programming Mathematics » Algorithms
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Are you passionate about developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative
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healthcare decisions? If the answer is yes, please continue reading! Join our team! As part of the UNIFIED project we are looking for a PhD candidate to research new adaptative architectures and foundation
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fully funded PhD position within the LowDataML doctoral network, focusing on developing innovative machine-learning approaches for drug discovery under low-data conditions. LowDataML aims to bridge
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of hyperbolic deep learning and one PhD student with a keen interest in the algorithmic side of hyperbolic deep learning. Tasks and responsibilities: Conduct high-impact research on hyperbolic deep learning
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of AI for the integration of multimodal healthcare data specifically incorporating patient preferences. This includes investigating new methods but also designing and benchmarking integration algorithms
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designing and benchmarking integration algorithms. The position is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do
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for prediction, explainability, prediction under intervention, algorithmic fairness, transparent model validation, and post-deployment quality control. You will also lead the implementation of the Data Science