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to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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Dr Claire Friedemann Smith on three projects which aim to improve primary care cancer detection. One project focuses on patient perspectives and aims to understand the information older people need
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: Lead unbiased, data-driven integration of: Spatial transcriptomics data Genomic alteration profiles (copy number alterations, SNVs) Histopathological diagnoses and clinical metadata Radiomic features (in
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-of-the-art methodology in endogenous protein editing and tagging by CRISPR and integrase strategies. Training in state-of-the-art technologies and data analysis as well as research management, oral and written
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designing/programming experiments, recruiting/running participants, developing and using computational modeling approaches (Bayesian, RL, neural networks) to analyze behavioral and neuroimaging data
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-miss reporting culture. Reproducibility & data stewardship: Version-controlled protocols, metadata standards for dielectric testing, and contribution to shared repositories (aligns with “high-quality
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on patient perspectives and aims to understand the information older people need about the harms and benefits of prostate specific antigen (PSA) testing (ProsDetect II). The second project addresses challenges
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diagnostic pathways. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD
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, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate works with data PET-MRI, EEG, and fMRI data collected from on-going mechanistic clinical trials
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), supernovae, gravitational wave sources, magnetic activity in exoplanets, and machine learning classification. The candidate will lead and participate in observations and data analysis of these sources in all