15 parallel-processing-bioinformatics "https:" positions at Stockholm University in Sweden
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exceptional candidates with a strong quantitative background and an MSc degree in computer science, physics, mathematics, engineering, bioinformatics, or related disciplines. Applicants will need a
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about us, please visit: the Department of Biochemistry and Biophysics .. Project description Your studies in Bioinformatics will be in the project: "AI-driven Multiscale Modelling of Membrane Protein
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requirements: Master’s degree (MSc) in Bioinformatics, Computational Biology, Computer Science, Biophysics, or a related quantitative field. Strong programming proficiency in Python and familiarity
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research expertise in computational palaeogenomics. Knowledge of computer programming and experience in developing bioinformatics software and pipelines in Nextflow for palaeogenomic research, as well as
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genetics, phylogenomics, and related subjects capacity for analytical and creative thinking documented experience in bioinformatics or other computational analyses initiative independence ability to
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development, developmental biology and stem cells. An interest in single-cell technologies, other genomic approaches and bioinformatics, with a willingness to combine experimental work with computational data
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ice core storage, and subsampling and processing of ice core sections. You will also contribute to developing the department’s current analytical capabilities for ice core chemistry, and to combining
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, subgroup fairness, and group-level counterfactual methods for detecting and mitigating biases across users, devices, environments, and operating conditions. Cloud-edge processing will be considered when
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awarded. The applicant does not need to have been awarded their PhD when applying, but needs to have done that before the fellowship is paid out. The result will be published on the homepage: https
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“Modelling Life at the Membrane with AI” ( https://cemerai.se ) to integrate data across scales within our interdisciplinary collaborative research center. Central publications from previous projects linked