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theory, and machine learning. They will have access to a fully equipped lab and benefit from collaborations within the ERC team and across TU Delft. There will be opportunities to present at leading
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for the project team. We are looking for a student with a strong background in at least one of the following subjects: statistics, machine learning, discrete optimization, operations research. A strong interest in
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Interventions Our goal: To make digital health interventions more effective by predicting and improving adherence through Artificial Intelligence (AI) and machine learning (ML). Your colleagues
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to discover the qubits that build the quantum information processing machines of the future? Do you want to embed qubits in scalable systems and help bring quantum technology to real-world applications? We
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predicting and improving adherence through Artificial Intelligence (AI) and machine learning (ML). Your colleagues: An interdisciplinary team of scientists working across Maastricht University and FH Joanneum
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this position, the chosen candidate will conduct research on how machine learning techniques or XAI can be leveraged by heuristic algorithms, or conversely, how heuristics can be enhanced by incorporating machine
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Several PhD positions on quantum photonics at QuTech. Job description Are you motivated to discover the qubits that build the quantum information processing machines of the future? Do you want
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8 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Computer hardware Computer science » Digital systems Engineering
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at the Institute for Computing and Information Sciences (iCIS), part of the Faculty of Science at Radboud University . The Data Science Group comprises around 50 researchers with expertise in machine learning
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, Philosophy, Educational Sciences, and Health Sciences. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging