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Vacancies PhD position on Neuromorphic Quantum-Inspired Optimisation and Simulation Key takeaways This position is part of the European EIC Pathfinder Open project Neuromorphic Quantum-Inspired
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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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discussions, opportunities for collaboration, and access to expertise in numerical analysis, dynamical systems, and high-performance computing. The position includes funding to present your work at leading
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to identify multiple diseases using one blood sample or medical image. These tests can find diseases early, before symptoms develop. However, they often produce false positives, indicating disease when none is
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machine-learning algorithms, and with lightning-fast Maxwell solvers for scattering simulations. You will not only work on the 3-D models in theory; you will also be trained in operating advanced microscopy
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PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’
consequences in controlled crisis simulations through field experiments combined with post-experimental interviews. Finally, interventions and training methods aimed at improving communication and reducing
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biodegradability. You’ll systematically study the impact of molecular structural parameters on material properties and biodegradability (‘structure-degradation correlation’). You’ll also optimize light source
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will be: 1. Advanced Numerical Modelling and Simulation: You will begin by developing a numerical model to simulate the complete thermal-fluidic performance of the magnetic refrigerator. This model will
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technologies into existing and new factory layouts, while accounting for material flows, energy use, logistics, and digitalisation. The PhD candidate will develop digital factory models, simulations, and
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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