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Field
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of mixed fixed-flexible transport networks? Job description The increase of public transport usage has clear potential in transforming our environment to be more liveable, sustainable and convenient. However
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of neuronal networks and how this translates into specific behaviors in healthy and pathological conditions. To achieve these objectives, SPPIN adopts a multidisciplinary approach combining optical microscopy
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complexity and design solutions for a sustainable bioeconomy. The four PhD projects are: 1. MISOWASP: Linking Molecular scale Interactions of Soil Organic matter with Water retention in Soil-Plant systems
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a transitional trait that can act as a “safety net” between hybrid formation and genomic stabilisation. The evolutionary implications of apomixis remain unresolved despite its widespread occurrence
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into the challenge of integrating and analyzing large and diverse environmental and health datasets. Using semantic data linking, you’ll help turn complex data into actionable, FAIR (Findable, Accessible
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urban design, environmental stressors (e.g. heat, air pollution, pollen), and social factors (e.g. safety, norms, networks) influence active lifestyles; develop and test physical activity and destination
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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creating robust, low cost, and real-time edge-AI algorithms capable of accurately classifying diverse marine species and debris under complex and dynamic underwater conditions. The demand for such a low-cost
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AI-driven solutions for sustainable, efficient, and collaborative port operations of the future. Job description European seaports must achieve net zero emission by 2050 and 55% emission reduction
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make extensive use of low-fidelity simulations which can provide fast but inaccurate solutions depending on the flow complexity. To close this gap, this PhD will explore machine-learning (ML) methods