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Field
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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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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
Energy, Transport and Aerospace, funded by the Foundation for Science and Technology (FCT). It focuses on Scientific Artificial Intelligence, optimization, and computational modeling in engineering, aiming
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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 | 18 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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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 | about 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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perception, optimization, or control will be an advantage. The candidate should be comfortable with scientific programming, for example in Python and common machine-learning frameworks such as PyTorch
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perception, optimization, or control will be an advantage. The candidate should be comfortable with scientific programming, for example in Python and common machine-learning frameworks such as PyTorch
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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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at different stages of the solving process. (2) A set of algorithms for integrating domain knowledge before optimization as priors and after optimization in the form of structured expert feedback, with