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, BioM will unite ecology, statistics, and philosophy to improve the modelling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key
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will be involved in the ESA ARRAKIHS satellite mission with the main goal of understanding the impact of dark matter models and baryonic processes in faint substructures (e.g., dwarf satellites and
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or more of the flowing areas is a requirement: bioinformatics genome analysis cultivation of anaerobic microorganisms Experience or competence in heterologous production of enzymes is an advantage Teaching
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of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and account for uncertainty in ways
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electrolysers. These technologies are central in the transition to renewable energy and in the electrification of industrial processes. The PhD Research Fellow will investigate oxygen storage capacity
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laboratory or field settings. Master’s degree or equivalent in biology, molecular biology, bioinformatics, ecology, evolution, or related fields Foreign completed degree (M.Sc.-level) corresponding to a
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for structural studies (e.g., X-ray crystallography), enzymology, protein-protein/protein-ligand interac-tion studies, and/or structure-based drug-design Use of basic bioinformatics tools Language requirement
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analysis, aimed at understanding how the human brain encodes information. This cross-disciplinary project is a high-level collaboration between the Digital Signal Processing Group (DSB), at the Section
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are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. For more information and how to apply
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ceramic fuel cells and electrolysers. These technologies are central in the transition to renewable energy and in the electrification of industrial processes. For more information and how to apply: https