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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
fields Experience with image analysis, or computer vision Good knowledge of basic machine learning techniques, such as variational autoencoder Good presentation and writing skills Proactive, independent
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the running infrastructures. Using cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD project focuses
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visit our webpages: About Quantum Circuits, Architecture, and Technology (QCAT) section About Quantum and Computer Engineering (QCE) department Job requirements You hold an MSc degree in Electrical
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cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will advance our understanding
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quantum computing with decades of expertise in computational science. In this PhD project, you will help develop the foundations of Quantum Computational Fluid Dynamics (Quantum CFD). You will investigate
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of the PhD position sits at the crossroads of quantum computing, machine learning, and combinatorial optimization — an area where some of the most exciting and open questions in the field live. Research
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the AIM-PACE project, which aims at developing a new generation of safe-and-sustainable-by-design, bio-based and circular plastics by combining AI, microbial technology, computer modelling, and polymer
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
of scientific articles and the PhD thesis Additional activities : Participation and involvement in the ANR project Scientific mediation and communication Where to apply Website https://jobs.inria.fr/public
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10 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Engineering » Computer engineering Researcher Profile First