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structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We will consider techniques like flow matching, and use ideas from optimal
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ingredients, a process that is traditionally slow because each substrate–strain combination behaves differently. By applying machine learning to historical experimental data, we can predict high‑potential
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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-472 Is the Job related to staff position within a Research Infrastructure? No Offer Description The field of combinatorial optimization is concerned with developing generic tools that take a
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, deterministic systems. You model them, you optimize them, you operate them. That paradigm is breaking down. As electricity replaces fossil fuels, industrial systems must operate under fundamentally new conditions
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cultivated in northern and remote locations. ACRD’s research interests include integrating engineering, intelligent systems, data analytics, and plant biotechnology to optimize crop production in controlled
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serious pathologies. However, the mechanisms shaping brain regions are still poorly understood, due to the technical difficulty of mapping opaque tissue at different development stages with sub-cellular
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of complex thermo-mechanical behaviour (e.g., plasticity, damage, fracture) in engineering materials at different length scales, which emerges from the physics and mechanics of the underlying multi-phase
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with a strong background in applied mathematics, control theory and/or optimization to apply for a fully funded 4-year PhD position in the Smart Manufacturing Systems (SMS) group at the Engineering and
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of freedom makes it possible to increase the maximum information transfer rate, for instance through mode-division multiplexing: different modes carrying different angular momentum propagate independently