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Website https://emploi.cnrs.fr/Candidat/Offre/UPR2357-PATACH-008/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research FieldBiological sciencesEducation
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sustainable future. A more detailed summary of our research fields can be found on: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech Our excellent network on international
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Description Call for applications for non-statutory research staff positions, Test for selecting a Researcher, Department Chemical Engineering Where to apply Website https://seuelectronica.urv.cat/treballar-a
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experience Skills in using GEANT4/ Python/ LaTeX/ C++/ ROOT(CERN)/ Linux/ Monte Carlo simulation LanguagesROMANIANLevelExcellent LanguagesENGLISHLevelExcellent Research FieldPhysicsYears of Research
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of degree equivalency. Preferred Qualifications: Background in medical imaging, imaging simulation, and machine learning. Programming in Python, MATLAB, C, CUDA. Other Requirements: This position is hybrid
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fields can be found on: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech Our excellent Network on international and national basis offers a perfect start for a
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++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | about 2 months ago
international circulation. International Profile. Be proficient, speaking and writing in English. Technical skills including: experience with Python (Pandas, Numpy, Matplotlib, etc.); experience with popular
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the position description. Preferences The ideal candidate will have experience with wearable sensors and/or remote monitoring approaches and strong programming (e.g., R, Python, or similar) and writing skills
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activity: Spatial analysis in GIS (e.g., in QGIS or Python) aimed at analysing spatial relationships between data represented as vectors and rasters. WE REQUEST Professional education, qualifications and