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aims to reduce energy consumption in our faculty through development and implementation of AI in energy management. This project revolves around interdisciplinary collaboration among researchers from
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'industry 4.0 models' that provide both economic and environmental predictions and that may be adopted by companies. The second project aims to reduce energy consumption in our faculty through development and
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fundamental studies on ultrafast nanomagnetism and aims to find out which computational tasks can be carried out faster and more energy-efficient by deployment of new neuromorphic hardware. Ultimately, this may
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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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experience with any of the following: single-cell RNA-sequencing, epigenomics, proteomics, bioinformatics analysis of large datasets, the biology of Plasmodium (gametocytes). We are This project will mainly
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the Earth’s atmosphere, created by high energy cosmic rays. Processing the observational data, the accompanying numerical simulations and machine learning techniques requires special resources. This is a major
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relationship. The vibrant and international department consists of 15 faculty, ∼15 postdocs and engineers, ∼30 PhD students, and ∼10 MSc students. Worldclass research focuses on high-energy astro(particle
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of chemists who make new materials and new features in existing hydrogels, and cell biologists who use the gels in their experiments. The group is part of the larger department of Synthetic Organic Chemistry
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into our expertise in metabolomics, cell biology and biochemistry, environmental microbiology, biotechnology, microbial physiology, and bioinformatics. Radboud University At Radboud University, we aim
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attitude. You have creative thinking skills and a high degree of independence. You have preferably experience with any of the following: single-cell RNA-sequencing, epigenomics, proteomics, bioinformatics