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professionalism, maturity, and attention to detail in work and interactions. Strong skills in Adobe Creative Cloud applications (InDesign, Illustrator, Photoshop). Strong visual communication skills with attention
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. DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful
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15 Nov 2025 Job Information Organisation/Company CNRS Department Institut de planétologie et d'astrophysique de Grenoble Research Field Computer science Researcher Profile First Stage Researcher (R1
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(QFT). Applicants with a background in either QIS or QFT are welcome. Our group has access to cloud-based quantum computing resources through IBM and AWS, and an IBM quantum computer is expected to be
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model Assists the faculty mentor to program the industrial robot to acquire stereo images of objects from different perspectives using OpenCV libraries Generates 3D point clouds from each set of images
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Website https://jobs.inria.fr/public/classic/en/offres/2025-09541 Requirements Skills/Qualifications Eligible candidates should have a PhD in computer science. Experience in formal methods or in
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School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job
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information on D^3, please visit https://d3.harvard.edu . Business, the global economy, and societies around the world are facing dramatic upheaval as a result of rapid technological change driven
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computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to
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(e.g., Docker, Kubernetes, cloud/edge environments). Demonstrated expertise in AI, distributed computing, machine learning, or systems software design. Strong background in software engineering