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The SiMul team (https://cran-simul.github.io) at the University of Lorraine is offering a fully funded PhD position on the theoretical foundations of self-supervised learning, focusing
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to forward a copy of your CV along with your academic referees. Informal enquiries to:Colin.clarke@nibrt.ie or niall.barron@nibrt.ie Funding:Annual stipend of €25,000 plus fees for 4 years.Project 2: Model
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seeking a postdoctoral researcher to investigate how the use of visualization and simulation tools impacts undergraduate students' understanding and attitudes in topics related to semiconductor physics
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the levels of immersion experienced by users in advanced VR environments. The position involves developing a VR simulation, modifying experimental conditions, conducting human trials, and analysing user
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of neutron-induced nuclear recoil backgrounds with multiple scatters in LZ. Measurement and simulation of muon-induced background in the LZ experiment. You will work alongside Prof Davide Costanzo and Prof Dan
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description The project focuses on studying the evolution of evolvability using computational simulations. Evidence from evolutionary developmental biology suggests that evolvability can change rapidly in
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file: A letter of motivation describing your research interests (max. one page) including contact information of at least two referees A curriculum vitae Copy of M.Sc. diploma (or equivalent) AND a
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simulation tools such as IES VE or EnergyPlus, as well as proficiency in handling and analysing qualitative and quantitative data. Experience with post-occupancy evaluation, field surveys, and data loggers
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copy the link to this scholarship website into question two of the financial details section.
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simulate the impacts of extreme weather using future-looking climate-based projections. It aims to identify cost-effective, climate-resilient investment pathways for the GB’s whole energy system. The project