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-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped
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Postdoc: Geospatial AI Modelling & Uncertainty Quantification of Biomass Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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Postdoc: Hybrid Geospatial Modelling and Scenario Development of Biomass Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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Vacancies Postdoc position for Multi-scale process modelling Key takeaways At the CPM chair we are looking for a postdoctoral researcher to join the EU-funded FASTER project, which aims to enable
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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to achieve this is through thermal actuation, using a laser to locally heat the multilayer, where the applied heat creates a shrinkage (or expansion) of the heated materials. The challenge is to create such a
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carries out technology research and development on flight vehicles, flight physics, aerodynamics, thermodynamics and fluidic engineering. The Section is also the focal point for the architecture design
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researchers with diverse experimental interests and backgrounds, including spin and superconducting qubits, condensed matter device physics, quantum materials, quantum many-body physics, and quantum information
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, molecular inorganic chemistry and molecular materials chemistry are embedded in the institute. The research programme is focused on synthesis, catalysis, functional materials, bio-organic chemistry/chemical