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integrative part of sustainable and healthy diets. Development of analytical methods, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12
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of analytical methods, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12 PhD candidates will be based across seven different universities
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engineering, or another related field Strong knowledge of Machine Learning theory and methods, and related Deep Learning approaches Excellent knowledge of programming in Python and scientific libraries used
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Dynamics, Mechanisms, Sensitivity, Specificity, Single-cell Variability, and Vulnerabilities. Our group is multi-disciplinary, combining methods from Bioinformatics (RNA-seq, biological databases
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integrative part of sustainable and healthy diets. Development of analytical methods, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12
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of analytical methods, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12 PhD candidates will be based across seven different universities
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and community-level analyses across aquatic and terrestrial taxa Apply advanced statistical approaches, including multivariate methods, to analyse complex ecological data Contribute to the integration
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forest–lake systems Contribute to trait-based and community-level analyses across aquatic and terrestrial taxa Apply advanced statistical approaches, including multivariate methods, to analyse complex
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energy systems. A consortium of leading universities and non-academic partners will train 14 doctoral candidates in cutting-edge methods, theory, and transferable skills. More information may be found