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research team and support us in our efforts to develop refined preclinical models for high-impact emerging viruses. You will be directly contributing to global pandemic preparedness efforts in a One Health
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Job Purpose To make a leading contribution to “Numerical Modelling of Superconducting Cables” working with “Propulsion, Electrification & Superconductivity” group in the research disciplines
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the DFG-funded research project ICEBAY, which focuses on Bayesian hierarchical modeling and probabilistic inference for temperature reconstruction by combining borehole thermometry and ice-core data. The
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skills in Matlab and/or Python, R C2 Experience with collection and analysis of EEG and/or fMRI data C3 Experience with Drift Diffusion and/or Reinforcement Learning models C4. Research creativity and
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engineering models for large-scale quantum computers. The aim is for this thesis to develop fundamental expertise in quantum physics and computing, and then share it with other teams in the Q-loop project, so
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24.02.2026 Application deadline : 06.04.2026 The Faculty of Science at Tübingen University invites applications for a Tenure-Track Professorship (W1 to W3) in Evolutionary Modelling (m/f/d
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 23 days ago
was installed at IT4Innovations in 2025. For more details, see www.it4i.eu . Activity description: · modelling and optimization of electrical networks using open source tools (preferably Julia or Python
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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and regression and/or choice models to identify the determinants of private label acceptance and their relationship to sustainable consumption and waste. The output of the work will be a model of the
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problems are highly valued. Familiarity with statistical modeling, data mining, and pipeline development for genomics and neurodevelopmental research will enhance a candidate’s profile. The appointee is