47 programming-"https:"-"Ikerbasque---Basque-Foundation-for-Science" "https:" "https:" "I.E" "UCL" positions at SciLifeLab
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or senior staff scientist. More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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. Location: SciLifeLab , Solna https://ki.se/en/research/research-areas-centres-and-networks/research-groups/uncovering-the-molecular-and-physical-principles-governing-early-embryonic-division-and-nuclear
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
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program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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. field experiments and research stations across the country, as well as from environmental monitoring programs with associated national data hosting. SLU also engages in the Swedish Biodiversity Data
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at https://nbis.se. Duties We are seeking a candidate who wants to help enable life science research in Sweden that goes beyond what is achievable by individual researchers, a single university, or a single
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developing and implementing data management for human data to meet future needs within data-driven Life Science research. More information about NBIS can be found at https://nbis.se . Duties We are looking
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previous work in proteomic studies. Knowledge in manual interpretation of MS spectra as well as programming/writing scripts is highly desirable and a merit. Knowledge in post-translational modifications
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area, from basic research to large-scale applied research, and close contacts with students through the department’s involvement in engineering and master’s programs. Our research and teaching are
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on bioinformatics analysis of spatial gene expression data as well as other modalities (i.e. microbiome; metabolites, proteins) generated using the Spatial Transcriptomics (ST) method, Spatial metaTranscriptomics