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, designing, implementing, and evaluating ML models that address practical challenges across domains. The researcher will contribute to the development of a full machine learning pipeline, including data
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models can be designed and deployed efficiently on constrained hardware platforms while supporting the reliability and security requirements of cyber-physical energy systems. Tasks The PhD student will
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this early phase of settlement, particularly the routes taken. Main tasks: - Conduct demographic modeling analyses based on human genomic data. - Write a manuscript based on the results of the analyses
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all year round Details This PhD project will start by exploring the current state-of-the-art hybrid magnetohydrodynamic (MHD) particle beam flare models of Ruan et al. (2020), and Druett et al. (2023
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Overview The Health Economics and Decision Science (HEDS) section in the School of Medicine & Population Health is seeking to appoint a Research Associate in Health Economic Modelling. You will
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 15 days ago
), financed by national funds through FCT Workplan: The main objective of the fellowship will be to study the effects of heterogeneity in spatially-structured or host-structured multi-species models governed by
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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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observational and modelling approaches to ice-shelf processes The doctoral student is expected to: Develop research questions within the thematic scope of Antarctic ice shelf interactions Analyse observational
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision