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using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out the methods and
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Job related to staff position within a Research Infrastructure? No Offer Description As a PhD candidate, you will develop new analytical theories and methods for complex systems of partial differential
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methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out
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interested in exploring the limits of quantum computation using automated reasoning. We are broadly interested in tackling conjectures and open problems in quantum information theory using satisfiability
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Vacancies PhD position on Interaction Design of Simulation Games and Geospatial Digital Twins Key takeaways The Challenge This research focuses on the design and use of environmental decision
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Earth Sciences, Civil or Hydraulic Engineering, or other appropriate fields. You will work on the project: Novel experimental turbidity currents in the TurbiFlume. Your job More than 10,000 submarine
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Position on wellbeing and input-output analysis The Institute of Environmental Sciences (CML) is looking for a PhD candidate to work on a systems perspective on wellbeing to move beyond GDP using input
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to fuzzy-based algorithms. You will base your work on two different flood classification approaches, namely a hydrology-based one and a hydrograph-based one and compare these regarding their ability
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to standard stationary models without distinction of flood types. This framework will be ultimately included in a flood prediction model, which will be developed within the VIDI project. For this purpose, you
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answer maps accordingly. We use knowledge graphs to model these transformations and apply AI methods to scale them up across large map repositories, enabling users to explore many ways maps can be reused