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position within a Research Infrastructure? No Offer Description Background Information Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by the European Union. Funding
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, Heidelberg and Mannheim, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong
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group investigates the cellular and molecular mechanisms wiring neuronal networks. The candidate will join a project aiming at understanding how migrating neurons, developing axons and endothelial cells
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/or increase in efficiency. Additive manufacturing (AM) could help increase the efficiency of the GTs by enabling complex designs. AM has been used for static GT components, however the use for high
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increasingly complex networks. By deploying and advancing techniques such as machine learning, graph-based network analysis, and synthetic data generation, the project tackles key challenges in anomaly detection
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extension pending funding. Research topic: How do small brains solve the complex problem of navigation? Insects display a stunning variety of strategies: butterflies and moths migrate across continents
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activities across these decentralised and increasingly complex networks. By deploying and advancing techniques such as machine learning, graph-based network analysis, and synthetic data generation, the project
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consumption of implementing learning and adaptation capabilities of increasing complexity at the edge. To the extent possible, the design should be agnostic to the particular choice of sensor and
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 10 days ago
the spatial and temporal organization of biochemical networks in the cellular environment. The IMPRS-LM provides a unique graduate training program that equips students with the skills and knowledge to address
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network, PNAS 121, e2319718121 (2024) Qualifications We seek candidates with a strong background in physics, mechanical engineering, materials science, or computer science with an interest in complex meta