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background in bioinformatics, machine learning, single-cell omics, statistics, or genomic medicine, and a keen interest in obesity, diabetes, and cardiovascular disease. Background The Novo Nordisk Foundation
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conduct high-quality and impactful research. A key focus of the position is the study of the role of machine learning and artificial intelligence in healthcare and public policy, including
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crystal handling, SPR machines, and two libraries of fragments (small molecules <300 Da) tailored for SPR and X-ray crystallography. This setup enables a full workflow for fragment-based drug discovery
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. Experience with machine learning techniques for neural data analysis. Track record of publications in high-impact journals and successful grant applications. Work Environment: This position is part of a
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, statistics). Excellent organizational skills and attention to detail in experimental design and data tracking. Working knowledge of machine learning techniques for high-throughput data interpretation
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include data science management and development of novel and executing existing computational methods including machine learning and deep learning methods to integrate genomics, transcriptomics and
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history analysis and possibly also with machine learning. Another specific example is statistical software development, e.g. implementing tools and algorithms for working with causal discovery
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piglets who are unable to acquire own mothers’ colostrum. The majority of the experimental in vivo work is located at Frederiksberg Campus, albeit but with some investigations under commercial farming
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background in international and regional human rights law Knowledge of mercenaries and private military and security companies Qualitative research experience, specifically interviews Highly Desirable