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Description Challenge: Uncovering the interdependency between telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency
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; additional experience in one or more of the following areas is highly desirable: stochastic simulations quantitative genetics breeding programs working with Linux and HPC systems For this position your command
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–water coupling. What you’ll do – Modeling Simulations You will design and run high resolution simulations that bring the lake to life in the model world. Starting with large eddy simulation hindcasts
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you eager to push quantum simulation to new regimes in a lively, international
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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, logistics, and digitalisation. The PhD candidate will develop digital factory models, simulations, and planning tools that support the design and operation of circular AM-enabled factories. Crucially
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Neuromorphic Quantum-Inspired Optimisation and Simulation (NEQIOS) together with companies IBM and Enlightra and universities Oxford, Heidelberg and Radboud. NEQIOS aims to create a new class of brain-inspired
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theoretically rich and highly relevant for contemporary organizations. You will work on a multi-method research programme combining behavioural experiments, simulation-based decision tasks, and physiological
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for hands-on experimental characterization techniques and data analysis. Skills in programming (e.g., Python, MATLAB) and simulation tools. Expertise in photonic integration is not a must, but having relevant
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challenging for classical computing architectures. Some of your responsibilities will include: Design and develop mixed-signal circuits for implementing ONNs. Modeling, simulate and benchmark different