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Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with
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Immune Therapy. The joint mission of research at Sanquin is to develop novel methods and approaches using blood cells and blood products to prevent, diagnose, treat, or cure disease in donors and patients
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with anticipating the consequences of adopting nature-inclusive transitions for business and for nature. In that role, you will develop and explore the potential of farm typologies to deal with
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Degree PhD Course location Hamburg Teaching language German English Languages Teaching is delivered in both English and German (tailored to the individual needs of the students). In agreement with
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worlds. You will design QEC codes suited to realistic hardware, develop the decoding algorithms that make them practical, and map the trade-offs between reliability, qubit overhead and decoding latency. A
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and related Earth system sciences. The overall research and teaching focuses on: Improved understanding of biogeochemical processes with an emphasis on terrestrial ecosystems Development
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
and broaden the scope of geophysical models. We will develop a neural solver that dynamically learns to solve the momentum conservation equations. Unlike traditional supervised learning approaches, our
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hub for education and research. Our commitment to fostering interdisciplinary excellence has led us to establish a specialised organisational structure that fully embodies this ethos. Our commitment
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collaborative project. Under the joint supervision of Dr Nikolski and Dr Engelhardt, the candidate will become an integral part of both teams. The PhD candidate will develop and apply AI/bioinformatics
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of repeatedly solving wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim