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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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application! Work assignments The purpose of the position as an assistant professor is that the teacher should be given the opportunity to develop his independence as a researcher and to merit both
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. Preferred qualifications: Proven experience applying machine (deep) learning to imaging data. Strong programming skills, preferably in Python, and use of version control (Git/GitHub). Knowledge of open-source
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. Assessment criteria It is particularly meritorious that the applicant has shown Programming expertise: Proficiency in Python, R, and/or workflow management systems (Nextflow, Snakemake) Bioinformatics
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of large amounts of imaging data Communicate with other data generating platforms within the SciLifeLabs Integrated Data Service program Collaborate with national high-performance computing (HPC) resources
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information about us, please visit: www.dbb.su.se Project description We are seeking a researcher for a fixed-term project within the framework of a research program on allosteric modulation. The project
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users in all aspects of data analysis and data handling Application and development of robust statistical approaches for hit calling and data interpretation Management of datasets for FAIR compliance and
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dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You
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Computational Biology, Bioinformatics, Systems Biology, or a related field Proven methodological and research expertise Strong programming skills (Python, R, Bash or equivalent) for omics data processing, QC
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Driven Life. Science (DDLS) research program. We have a national assignment and operate a range of services for life science data and e-infrastructure. We also work with issues about FAIR data and open