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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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wireless channel modelling and component design. Knowledge of integration technologies is appreciated Ability to work in an interdisciplinary team and interested in collaborating with industrial partners
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language interfaces to gather and incorporate expert knowledge. A central research question is how human mental models of an optimization problem align or conflict with what optimization algorithms need, and how
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the muon content of air showers, confronting high-energy hadronic-interaction models and helping to solve the long-standing “muon puzzle”. You will carry out your research in the KM3NeT group at Nikhef
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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climate and hydrometeorological modeling, urban biometeorology, and climate-sensitive urban design? Do you want to pursue a PhD study that translates advanced urban (bio)climate and hydrometeorology
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, including efficiency, fairness, reliability, and sustainability. Despite recent advances, existing mathematical models often fail to jointly capture these aspects and trade-offs, limiting their ability
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to developing methods for iPSC culture, 3D cell models, and stem cell differentiation within the field of complex tissue regeneration. In this PhD project, you will work at the interface of stem cell biology
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management. Within WENR we develop and apply geographically explicit instruments, including models and monitoring approaches, to determine the effects of management and land-use change across forests, cropland
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and will be supervised by: Main supervisor: Dr. Rik Mom, Leiden University https://www.universiteitleiden.nl/en/research/research-projects/science/operando-research-in-electrochemistry Co-supervisor: Dr