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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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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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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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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
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PhD Position in Music Computing Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 31 March 2026 Apply now
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phenomena. Develop strong skills in data analysis and critical thinking Grow into an independent scientist while expanding your knowledge through your own research Contribute to a collaborative, enthusiastic
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cooperative behaviour. This will involve the collection of archival data at the household or village level to understand how local conditions and cooperative behaviour changes over time and across regions
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philosophical approaches; Learn to derive hypotheses from deductive theoretical reasoning through formal methods on sociological phenomena; Develop strong skills in experimental methods, data analysis and
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, or similar) for data analysis and modeling; Theoretical background and genuine interest in porous media processes, such as fluid flow, reactive transport, soil-fluid interactions, or geomechanics; Excellent
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PhD Position on Parameterized and Fine-Grained Complexity of NP-Hard Problems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40