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of knowledge-driven models, leveraging Bayesian statistics and causal inference for calibrated uncertainty, distribution-shift detection, and safety guarantees. You will be will working within the Center
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of knowledge-driven models, leveraging Bayesian statistics and causal inference for calibrated uncertainty, distribution-shift detection, and safety guarantees. You will be will working within the Center
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and/or job experience in forensic genetics. Experience in working with RNA and/or single cell analysis Good laboratory skills. Good computer skills / data processing skills/ bioinformatics skills Good
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-depth literature study of edge systems, distributed systems and simulation. You will perform experimental studies of computer systems with the emphasis on the time and energy consumption predictions. From
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. Experience in working with RNA and/or single cell analysis Good laboratory skills. Good computer skills / data processing skills/ bioinformatics skills Good communications skills. We will also emphasize
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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development of computer systems for data analysis, development of machine learning methods, and the clinical use of technology. Within the research groups you will therefore work together with computer