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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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modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks
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well as with experimental data. A suitable candidate may focus on a specific expertise, such as bioinformatics. The main work will concentrate around sarcomas, but our solutions are generic and may be applied
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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responsibilities include bioinformatics analyses with a strong focus on single-cell RNA sequencing and next-generation single-cell barcode lineage tracing, as well as the interpretation of complex biological
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bioinformatics methods have made significant strides, AI approaches - particularly deep learning - are revealing patterns and relationships in biological data that were previously inaccessible. As a postdoctoral
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. The project is conducted in close collaboration with researchers in mathematics, ecology, and bioinformatics. The fellow will be offered affiliation and a workspace at IceLab – the Integrated Science Lab
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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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team combines molecular medicine, bioinformatics, and clinical insights to uncover the mechanisms behind skin repair and chronic wounds. As part of our group, you'll gain hands-on experience with high
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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