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) out to 2050. Tasks include compiling big-data inputs, developing CNOSSOS-EU compliant simulations, validating predictions with field/lab measurements and mapping future hot-spots. Ideal profile: honours
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, driven by future applications and services for 6G and beyond. Networks are also evolving to support a large variety of signals across larger access and metro network areas. For these novel scenarios
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that handle large network sizes and additional information – such as fine-grained temporal information for email traffic or additional neighbourhood structures – are essential. A key challenge in modelling
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the predictions of opaque models that are widely deployed in high-stakes decision making scenarios. Of particular interest to this project are example-based explanation methods that use individual data points
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, large-scale data analysis, and real-time empirical studies of psychological processes. Title: Feeling trusted – effects on mental health and well-being Supervisors: Dr Ann-Christin Posten (ann
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understood, and the identification of targets of early intervention presents a great challenge. To address this critical knowledge gap, PREVENT, a large-scale population study carried out by Trinity College
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project will address these gaps by employing advanced longitudinal methods and cross-national data analysis to investigate the economic drivers and consequences of grey divorce. The project will explore how
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and data analysis. Excellent interpersonal and communication skills. Task-related Competencies Design and prepare research materials and conduct analyses of the research findings. Work collaboratively
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(stipend €25,000 p.a. + EU/International fees) and offers close mentorship, access to real-world health data, and a bespoke doctoral training programme. How to apply Combine the following into a single PDF
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such as scRNA-seq, bulk RNA-seq, DNAm analysis, proteomics and clinical data integration to determine how IFN-I responses change during ageing. Application Procedure Applicants should submit a cover letter