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The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
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your professional network. You will also have opportunities to present your work at leading conferences, engage in international collaborations, and develop a strong professional profile in computational
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topics in their nation of residence. Professor Seaborn is lead of and a listed supporter on the IDE+A Network: https://the-idea.network Click the 'Apply' button below to register an account with our
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Computing and Spiking Neural Network. Hands-on experience with layout and tape-out of CMOS chips. Contact person: Professor, Farshad Moradi, moradi@sdu.dk , +45-41893344, Associate Professors Yasser
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reactions affect the transport of fluids in the subsurface? Required skills, expertise and experience Masters degree in petroleum, reservoir engineering or computer science. We offer: For the right candidate
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inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics
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: [mohamed.lamine.faycal.bellaredj@umoncton.ca]Context & Motivation:Because of their extreme computational needs where workloads demand rapid and significant shifts in power consumption, next-generation high-performance computing
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environment at the University of Kassel. Its offers are open to all academics and artists in the qualification phase at the University of Kassel. Further training / transferable skills Kassel Graduate Programme
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 15 days ago
Assistant position, with the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading