58 programming-language "INSAIT The Institute for Computer Science" positions at SciLifeLab in Sweden
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in English, spoken and written Other assessment criteria Experience or expertise in any of the following areas will be considered meritable: Use of specialized tools for data analysis, statistical
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learning to omics data Familiarity with public data standards and repositories relevant to metabolomics/proteomics Excellent written and verbal communication skills in English Proven ability to collaborate
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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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bioinformatics for large-scale DNA sequencing (NGS) using Illumina, ONT, or PacBio platforms. Strong programming skills in Python Proficiency in Linux environments. Experience with container technologies (e.g
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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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chemistry, biochemistry and organic chemistry. More than 100 people, including around 45 PhD students, work at the department. New employees and students are recruited from all over the world and English is
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AI/ML-based discovery Contribute to multi-modal data integration Your profile MSc or PhD in Computational Biology, Bioinformatics, Systems Biology, or a related field Strong programming skills (Python
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, service-minded approach Fluency in English, spoken and written For employment as Research Infrastructure Specialist at Karolinska Institutet, the eligibility requirements stated in the Guidelines for non
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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