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Do you want to contribute to improving human health? Computational methods and artificial intelligence on large-scale molecular data are transforming the study of biological systems at all levels
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binding with simulations and quantitative modeling to gain a physical understanding of life at the molecular level. We are recruiting Postdocs that wants to use and develop state of the art methods
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individual laboratories. Computational methods and artificial intelligence based on large-scale molecular data are transforming the study of biological systems at all levels – from molecular structures and
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well as to follow societal developments in general that are important to your work. The Faculty of Medicine applies student-active teaching methods. Qualifications For being eligible you need to hold a PhD or have
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techniques using machine learning and other computational techniques. His most important contributions to this work are the methods he developed for assessing quality of protein models, notably Pcons and
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university and one of the world’s top 100 ranked institutions for higher education and research. The university has more than 30,000 students, 1,300 PhD-students, and 5,500 employees, and is primarily located
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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developing data processing pipelines, such as Nextflow or similar systems. Computer clusters and distributed systems. Virtual environments, e.g., Docker or Apptainer. Methods for software deployment (e.g
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should be considered as a candidate for this appointment. The nomination period will be followed by a formal application period. For further information and questions, please contact the chair