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3rd August 2026 Languages English English English We are looking for a PhD Candidate in Multi-scale, -physics, -fidelity wind modelling for wind farms Apply for this job See advertisement This is
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on: https://www.dges.gov.pt/pt/pagina/reconhecimento Workplan and the objectives to achieve: The work to be carried out consists of the development and experimental validation of control and estimation
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and wishes to expand their skill set into protein design and modelling. They should be comfortable working at the interface of disciplines, in a international environment, and be excited by the prospect
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on RFSoCs or software-defined radios. ▪ Conducting real-world experiments to investigate deviations between theoretical models, software simulations, channel emulations, and hardware implementations
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matching Optical simulations and modelling of multilayer photovoltaic devices Fabrication and characterization of optical coatings and perovskite tandem devices Where to apply Website https
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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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of the Bio Science Park, one of Europe’s largest science parks, where academia and industry meet. For more information, see: https://www.universiteitleiden.nl/en/science What we offer We offer a full-time
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models of mushroom farming. This project aims to support the transition towards technology adoption in the mushroom sector through an environmental, social and competitiveness assessment. The main tasks
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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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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
Developing computational framework for 3D shape modeling towards biological insights Developing AI-based representation learning framework for data-driven cell modeling Report findings and methods in