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related to Riemann-Steltjes optimal control to combine PMP with Bayesian Optimisation, allowing for data-efficient learning. You will then implement and validate the new method on simulated fermentations
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Bayesian Networks (DBNs) for probabilistic risk modelling Scenario-based simulation for rare-event analysis You will be part of a dynamic, interdisciplinary research setting at one of Europe’s leading
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research collaborations with leading international universities and organisations and a successful track record of national and international research projects. Research on iron and zinc from plant-based
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innovation with experimental validation using tracked ultrasound datasets acquired in collaboration with clinical partners. The long-term objective is to support radiation-free, dynamic 3D visualisation
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environment, working closely with academic and industrial partners as you develop into a recognised independent researcher. Project context and key objectives As offshore wind deployment expands farther from
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recognised independent researcher. Project context and key objectives As offshore wind deployment expands farther from shore, HVDC transmission is increasingly used for efficient long-distance power transfer
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research collaborations with leading international universities and organisations and a successful track record of national and international research projects. Research on iron and zinc from plant-based
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Control of Buildings (https://annex96.iea-ebc.org ). Responsibilities and qualifications The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical
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), depending on the candidate’s methodological profile and project proposal. Applicants may propose projects within one of the following focus areas: Digital and commercial innovation (Track A), Responsible
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division between computational and experimental research can be tailored to the prospective candidate. The PhD student will be part of the computational materials chemistry group led by Tenure-Track