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approval by the project sponsor. Your tasks Synthesis of metal-organic complex compounds of the actinides Characterization of the synthesized compounds in the solid state (SC-XRD, SQUID, EPR, XAS
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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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. This simple unit is limiting the learning capabilities of recurrent neural network models in tasks characterized by multi-timescale and long-range temporal dependencies. To implement multi-scale adaptation, in
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agreement of the federal states). The successful candidate will carry out research tasks related to the structural and biochemical analysis of protein-nucleic acid complexes relevant in gene-regulation
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the spatiotemporal and structural dynamics of reading networks using advanced neuroimaging methods. The position offers interdisciplinary training in behavioral, functional, and structural MRI, alongside hands
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that are transforming many sectors today through language models, recommendation systems and advanced technologies. However, modern machine learning models, such as neural networks and ensemble models, remain largely
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energetic constraints on circuit function. Deriving design principles for neural networks performing complex tasks. We employ computational and analytical methods from applied mathematics and physics
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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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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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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