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design and characterise reconstruction methods—both machine-learning-based and traditional—for the bundles of muons that reach the detectors, and apply them to data and simulations to constrain cosmic-ray
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: they let an agent rehearse the consequences of its actions thousands of times before it acts in the real world. Paired with agents that plan, reason and act inside them, they are emerging as the substrate
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expected at the wall of a fusion reactor. This PhD position will use these unique setups to address questions such as: how well do flowing systems perform their designed tasks? To what extent do they trap
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How can we design better electrodes for CO2 electrolysis to ethylene? Job description A major contributor to climate change are carbon dioxide emissions. To reduce emissions and thus combat climate
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University’s Faculty of Geosciences studies the Earth: from the Earth’s core to its surface, including man’s spatial and material utilisation of the Earth – always with a focus on sustainability and innovation
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approximately 3,000 to 15,000 MKIDs integrated on a single 4-inch wafer. Your work will cover the full development cycle, including detector design, microfabrication, device characterization, and system
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bias and fairness. Second, you will also design methods to systematically evaluate various models against these established standards and values. This contributes to the responsible deployment of AI
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sports and cultural activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents and realise
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indicative date. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching
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integrated photonics and color center qubits. You will focus on device design and characterization, delving into the complex physics of color centers, and developing technology based on integrated photonic