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. Together we aim to develop parallel Markov-chain Monte Carlo sampling algorithms, implement them in recently discovered ultra-fast, ultra-small and ultra-low-energy stochastic dynamics in magnetic materials
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of the AI "black box"? Then come and join us as a PhD candidate to explore and innovate energy-efficient methods for machine learning training. Artificial Neural Networks (ANNs) are driving new applications
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Carlo sampling algorithms, implement them in recently discovered ultra-fast, ultra-small and ultra-low-energy stochastic dynamics in magnetic materials, and benchmark this new method for runtime and
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. All-Optical switching (AOS) of magnetisation has been demonstrated as a radically new approach to write magnetic bits at an unprecedented picosecond timescale and with low switching energies. Recently
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inference, you will develop novel MCMC algorithms that make use of this feature for energy, time and space efficiency. In addition to algorithm development, implementation (using an emulator) and simulation
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help us develop new, innovative methods to extract knowledge from immune cell movement videos. When thinking of cells, most people imagine static building blocks. Yet many processes in health and disease
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in biology? Then you have a part to play as a PhD candidate. By combining simulations and machine learning, you will help us develop new, innovative methods to extract knowledge from immune cell
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quantum many-body physics.The project closely aligns with fundamental studies on ultrafast nanomagnetism and aims to find out which computational tasks can be carried out faster and more energy-efficient by
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to this collaboration on these four themes through our expertise in metabolomics, cell biology and biochemistry, environmental microbiology, biotechnology, microbial physiology and bioinformatics. Radboud University
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microbiology 2. Carbon/methane cycle microbiology 3. Host-microbe interactions 4. Bioremediation We contribute to the collaboration on these four themes through our expertise in metabolomics, cell biology and