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on digital innovation, quantum-enhanced modelling, and resilient infrastructure systems Base Salary Level A, $117,936 - $125,896 + 17% superannuation About the opportunity The Faculty of Engineering at
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capability in quantum computing, data-driven modelling, infrastructure systems, computational optimisation, simulation, probabilistic methods, or related areas. This project is part of an ambitious research
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. About You You should hold, or be close to completing, a PhD in robotics, computer vision, artificial intelligence, computer science, engineering, or another closely related discipline. You will have
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capability in quantum computing, data-driven modelling, infrastructure systems, computational optimisation, simulation, probabilistic methods, or related areas. This project is part of an ambitious research
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
of integrated assessment and political futures modelling, starting on 01.11.2026. The position is funded for 2 years and 2 month until 31.12.2028. Renumeration is in accordance with the German public tariff
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applications. Research activities may involve geophysical forward modeling, AI-driven geophysical inversion, seismic monitoring and imaging, scientific machine learning, depending on the specific research focus
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providing industry actors with practical evaluation tools, such as technical testing platforms for AI. Your profile PhD in Computer Science, with a thesis related to machine learning, software engineering
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competitive residency program with 25 positions, we offer 9 fellowships and participate in numerous graduate school and the MD/PhD program of the CU School of Medicine. Why work for the University
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Job related to staff position within a Research Infrastructure? No Offer Description Overview of the UM6P and MSN Department Mohammed VI Polytechnic University (UM6P) is a research-driven institution
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in the world. This position is in the Technology Integration group within NCCS. Specific areas of research interest include: Telemetry collection and analysis to inform system optimization, workload