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programming task within the thematic context of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bi-molecular-machine-learning/ Employment conditions This is a
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 9 hours ago
mechanics, finite element modeling, and scientific machine learning. The RSE will contribute to the design, implementation, and maintenance of open-source software libraries that integrate phenomenological
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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encouraged to apply. Candidates with experience in the application of AI/ML to structural design are of interest. The ability to teach undergraduate and graduate courses in structural engineering and mechanics
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independently and as part of a team Experience with machine learning and AI applications in engineering is advantageous We regret to inform that only shortlisted candidates will be notified. Hiring Institution
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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your machine learning expertise to cutting-edge automated optimisation challenges? We are seeking a Research Fellow in Digital Chemistry and Engineering to combine self-optimising flow reactor technology
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 9 hours ago
of computational mechanics, mechanical and civil engineering, and scientific machine learning. The postdoc will be encouraged to publish in leading international journals, present their work at major conferences
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 9 hours ago
interdisciplinary research environment at the interface of computational mechanics, mechanical/civil engineering, and scientific machine learning. The PhD candidate will also have opportunities to present their work
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. The PhD will combine behavioural experiments, machine learning, and explainable-AI methods to answer questions: Do SR techniques improve human face identification accuracy? How do SR-enhanced images affect