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) Reference no.: 5407 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking
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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in AI-augmented process control, is open for appointment from 01 July 2026 or soon hereafter. The duration
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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large-scale training of scientific foundation models You will collaborate with researchers across machine learning, scientific computing, materials science, and data engineering, and work with leading
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Foundation Semper Ardens: Accelerate. The postdoctoral position is a full-time, fixed-term role for two years. It starts on 1 June 2026 or as soon as possible thereafter. The School of Communication and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 30 days ago
Quantum Enhanced Microscopy (f/m/x) 102887 Full time 39 hrs./week Neuherberg near Munich At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We
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environments. Additionally, we have identified key gene families and their specific targets that can be enhanced through genome editing technologies. Our mission is to accelerate the adoption of these resilient
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in building part of the AI Collaboratory, a state-of-the-art compute infrastructure. Within the AI Collaboratory, the role of LUCL is to enable access to language data, advanced language technology and
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it comes to running experiments an affinity to AI technology (incl. machine learning, computer vision) (German) permit to perform animal experiments (equivalent to FELASA B or C) desirable previous
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural