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Field
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data-driven learning and which should remain within structured optimization. In line with AID’s research areas, the project will emphasize knowledge embedding, uncertainty representation, risk-aware
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research will help explaining how structures respond to extreme hydraulic loading and provide the scientific basis for safer and more optimized engineering solutions. This position offers a unique
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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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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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The Department Mechanisms of Sustainable Electrocatalysis is looking for PhD Student (f/m/d) Data-Driven Optimization of Electrocatalyst Deposition and Activity Your Tasks Develop and optimize electrochemical
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
locomotion capabilities through a global leg-spine-neck dynamic optimization. Building on the previous outcomes, we will first define the quadruped’s kinematic structure, actuation type, sensing modalities
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[Srdinsek2025], the sole structure of the tensor networks that could be “salvaged” was the canonical form that provided the ability to dynamically compress/decompress. During this PhD, we will develop more; we
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 25 days ago
is a slow, expensive, and labor-intensive process. Large sums are invested into screening compound libraries to identify initial hits and structurally optimizing these initial compounds for human
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at the intersection of construction and digitalization: optimization of construction processes, new and alternative cementitious materials, sensor-based monitoring of concrete performance, and
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capacity available to power markets with flow-based market coupling. Developing methods for optimally allocating the additional transfer capability enabled by increased transformer loading limits across day