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Field
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should be attached to the application describing how your background, skills, and research interests make you a good match for the project on AI foundation models for integrative single-cell and multi
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Will your multiphase models shape the energy transition? Job description The research programme CO2URAGE, funded by the Dutch funding organisation NWO in the framework of the Perspectief Programme
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scientific knowledge, such as physical laws, differential equations, and domain-specific constraints, to model, simulate, and understand complex systems. The project will explore modern SciML methods
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field directly related to aircraft systems, aircraft modifications, airborne instrumentation, computational modelling, aerospace engineering, atmospheric measurements, flight sciences, or a related
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, including situations where some modalities are incomplete or unavailable. Exploring foundation-model and self-supervised learning approaches for extracting transferable representations from large-scale forest
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language models and continuous wearable data now make genuinely personalised, context-aware coaching feasible for the first time, while raising real questions about safety, equity, engagement, and cultural
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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mechanisms and developing disease models to preclinical therapy testing, clinical readiness and patient-informed treatment priorities. To achieve this, POLARIS brings together expertise in leukodystrophy
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National Model Codes. They directly support code development committees in developing recommendations on proposed changes which includes technical and administrative support for the committees and requires
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of: electromagnetic sensor design, modelling, prototyping and experimental validation. The best fit is A candidate interested in high-frequency measurement techniques, sensor hardware development and precision