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quantitative data analysis using R and/or Python; experience with statistical modelling and the analysis of complex biological data; a strong interest in exposomics, multi-omics integration, and brain–body
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on stakeholder priorities (Luxembourg), 2) systematic review on surrogate outcomes for economic evaluation (Czechia), 3) observational data analysis on the validation of these outcomes (Germany), 4) integration
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clinical analysis. Your colleagues: A multidisciplinary team of cardiothoracic surgeons, intensivists, cardiologists, biomedical engineers, and data scientists within a state-of-the-art MCS lab and high
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deadline: 17 March 2026 Apply now University School of Economics offers a fully funded PhD on the economic aspects of water-resilient landscapes. The project develops a comprehensive economic analysis of
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, genetics, or a related life sciences discipline. Demonstrate hands-on experience with large-scale multi-omics data analysis; proficiency in Python and R programming is highly valued. Travel regularly
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analyse both existing panel data and newly collected survey data (e.g. with multilevel regression and longitudinal panel analysis). We will refine existing network measures to better capture inherited
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existing datasets and set up new studies, collecting samples from horses and performing laboratory experiments followed by data analysis. Techniques such as 16S rRNA sequencing, shotgun metagenomic
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3 Mar 2026 Job Information Organisation/Company Wetsus - European centre of excellence for sustainable water technology Research Field Agricultural sciences » Soil science Technology » Biotechnology
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and clinical populations (e.g. stroke, brain tumour and neurodegenerative conditions). You will contribute to data preprocessing, and advanced analysis, including tractography, network modelling and
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quantitative research and data analysis, with openness and desire to learn and apply diverse data sources (e.g., lab and survey experiments, surveys, administrative microdata) and methodologies (e.g., multilevel