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Field
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work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
track record in applied mathematics, scientific computing, and computational mechanics; Proficiency in programming (Python/C++); Solid knowledge of numerical methods. Highly appreciated qualifications
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through the EU Research Framework Programme? NextGenerationEU Reference Number 760236 Is the Job related to staff position within a Research Infrastructure? No Offer Description WITHIN THE FRAMEWORK
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establishing priorities. Other duties as assigned. Knowledge – Skills – Abilities Knowledge or fluid and solid mechanics, biology, chemistry, mathematics, and statistics Documentation, records management, and
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includes research in solid and fluid mechanics, mechanics of materials, robotics and automation, dynamics and structural mechanics, additive and subtractive manufacturing processes, production engineering
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includes research in solid and fluid mechanics, mechanics of materials, robotics and automation, dynamics and structural mechanics, additive and subtractive manufacturing processes, production engineering
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, at least through publications and conferences. He/she will actively participate in the life of the laboratory. The work will be carried out at the Solid Mechanics Laboratory, a joint unit between the CNRS
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Mechanics, Civil Engineering, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of computational mechanics and computational geomechanics. Preferred
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The goal of the project is to explore new material platforms to realise novel correlated electron ground states and multiwell energy landscapes using scanning probe microscopy techniques beyond
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iceberg calving, using statistical constraints from observations and outputs generated by a highly resolved model of the fracture process. The overarching goal is to quantify the mechanical strength of ice