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and disease early warning. The postdoc will perform directed research to achieve the objectives of the project, specifically: (i) deploy network analysis methods to genomic co-expression data (70%), and
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and collaborate with Distribution Network Service Providers to integrate economic analysis, power system modelling and optimisation to support scalable, evidence‑based deployment strategies. This is a
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this exciting role, you will focus on the annotation and analysis of genomes from protists and other microbial eukaryotes. This work integrates multi-omics data and involves benchmarking and developing methods
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the Atmosphere for Investigation and Learning”), Maria Skłodowska Curie Actions (MSCA) Doctoral Network funded by the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic
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enrichment (GO, KEGG), network analysis, genome assembly and binning, systems biology, and multi-omics integration. Apply statistical modelling, machine learning, and deep learning approaches for biomarker
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POST-DOCTORAL RESEARCH FELLOW - CEVIPOL (Centre de la vie politique) – Université Libre de Bruxelles
, and coalitions involved in either promoting or resisting autocratisation across the selected cases. By employing a combination of quantitative mapping and analysis, temporal sequencing, network analysis
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. Significant relevant research experience working on a project that relates to health and social care research Experience in quantitative and qualitative data analysis Good understanding of the key issues and
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Actions (MSCA) Doctoral Network funded by the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic natural particle accelerators on Earth, capable of accelerating
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Actions (MSCA) Doctoral Network funded by the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic natural particle accelerators on Earth, capable of accelerating
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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in