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and is part of the National Program for Data-driven Life Science (DDLS ), generously funded by the Knut and Alice Wallenberg Foundation. Our research is focused on the use machine learning + AI tools as
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. This project centers on applying advanced computational tools—such as bioinformatics, machine learning, and large-scale genomic data analysis—to unravel how pathogenic Escherichia coli (E. coli) evolve and adapt
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Magnetic Resonance (NMR), and other biophysical techniques, to investigate the molecular mechanism of RNA function. When function of these molecular machines becomes apparent, it also provides a variety of
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experience with machine learning techniques in general and neural networks in particular will be highly beneficial.
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use the data to train deep learning models of cancer. This allows us to identify systems-level mechanisms that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. We
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in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about
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research subject area aims to lead to innovative development and/or application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Lund
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and/or application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Tasks The tasks include primarily leading and conducting research
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immunostaining of tissues and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. We are now looking for a research engineer for the HPA team. As a research engineer in