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experiment on a metric-scale concrete wall, using the multi-physics NDE probe integrated onto drone platforms. Expected Results A Python-based multi-physics Maching Learning framework for NDE characterization
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research directions while collaborating with a team composed of domain scientists, experts in climate physics and modeling, and AI, as part of the international project, M2 LInES https://m2lines.github.io
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using a range of specialised research techniques. Good knowledge of the R statistical programming language. Programming experience in C, C++ or Python is desirable. Excellent verbal and written
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of the same project. Functions to be developed: Participate in the development of neural networks. Cooperate in dynamic analysis. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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Institut Supérieur de l'Aéronautique et de l'Espace | Toulouse, Midi Pyrenees | France | about 1 month ago
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of superconducting quantum devices require generating and acquiring microwave signals and efficiently processing the resulting data, typically using Radio Frequency System-on-Chip (RFSoC) platforms with Python-based
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understanding of human genetics. Knowledge of DNA and RNA sequencing analysis, of programming languages such as R, Python, or Bash script, and of bioinformatics pipelines for genomic data analysis is essential
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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stability (beam break-up). The Grenoble Laboratory of Subatomic Physics and Cosmology (LPSC) ( http://lpsc.in2p3.fr ) is a mixed research unit associating CNRS-IN2P3, Grenoble Alpes University (UGA) and
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students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description We are looking for a talented and motivated Research Assistant to join our