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driven extinct. Our group uses a combination of mathematical theory and controlled, lab-based experiments to investigate how this feedback between growth and the chemical environment shapes microbial
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comfort throughout the year in a Nordic climate? Is it possible to predict dynamic outdoor thermal comfort with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead
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modelling. MISSION You will actively contribute to the development and evaluation of new hybrid computational method to predict biological tissue deformation with subject-specific material properties
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within the broader context of Industry 4.0 and is part of an ongoing initiative to enable predictive diagnostics for electrical machines. The research The increasing need for predictive maintenance in
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a highly motivated PhD candidate to advance predictive, data-driven production and
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) to Volumetric Arc Therapy (VMAT), Stereotactic Radiosurgery (SRS), and ultra-high dose-rate (UHDR-FLASH) therapy, the need for real-time control and verification becomes critical. This PhD will further develop
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IF or CORE A*/A conference paper. Robust machine control assumes modeling of robot-environment interactions. An example may include an outdoor autonomous ground robot that needs to be aware of its
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to work on the use of hyperspectral data to explain and predict soil functions and communities in European mountains. We are looking for a candidate who has a very good command of artificial intelligence
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD candidate: ML-based prediction of flood types based on atmospheric and catchment attributes Are you
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Biomarkers and Susceptibility Unit (UBS). To find out more, visit our website: https://www.odap-ico.org/ About the role We are seeking a highly motivated data scientist to join the research team on artificial