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computational and statistical methods, with demonstrated experience in reproducible and scalable bioinformatics environments. The applicant will work in close collaboration with other Engblom lab team members who
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computational and statistical methods, with demonstrated experience in reproducible and scalable bioinformatics environments. The applicant will work in close collaboration with other Engblom lab team members who
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and bioinformatics tools, we aim to map these variants more precisely and understand their exact structure and mechanisms of formation and role in cancer biology. This knowledge is crucial
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malignancies. By integrating cutting-edge genomic sequencing and bioinformatics tools, we aim to map these variants more precisely and understand their exact structure and mechanisms of formation and role in
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are looking for a motivated postdoctor with bioinformatic experience interested in discovering and understanding new proteins in innate immune cells. Description of the project Microproteins are small proteins
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following basic requirements: - Hold a PhD degree in plant biology with a focus on plant breeding, quantitative genetics, population genetics, bioinformatics or similar - Ability to carry out and complete
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molecular and/or systems neuroscience. Experience with wet-lab single-cell ‘omics protocols and bioinformatics skills are of advantage. Postdoctoral scholarships may be established for foreign researchers who
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, as well as handling bioinformatics tasks such such as running analysis pipelines, performing quality control, and conducting downstream data analyses. You are expected to actively contribute to method
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research experience in phylogenomics. You should have a strong background in bioinformatics, statistical phylogenetics and comparative genomics. Previous experience of working with de novo assemblies and
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep