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. Emphasis is placed on combining techniques from geometric computer vision and machine learning, to build accurate and reliable reconstructions and maps from visual data. The aim is to develop systems
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, implement, and maintain reproducible bioinformatics pipelines. The work may also include statistical analyses and data visualization to identify and interpret somatic mutational patterns and other genomic
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), document management, and KPI visualization. Developing and supporting internal systems, including LIMS (Laboratory Information Management System) and existing DevOps solutions (e.g., Ansible, GitLab
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, seminars, and scientific conferences. Visual assessment of brain imaging (MRI, amyloid‑PET, tau‑PET), managing the group’s social media channels and participation in grant applications and report writing
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of graphic designs, theoretical approaches and the role of graphic design in society. This research at Malmö University focuses on visual analysis, visual communication, graphic design in relation
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sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users of the infrastructure. We envision that you will start
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. The Assistant Professor is expected to contribute to teaching and program and course development in bioinformatics, data visualization, machine learning, biological statistics, and statistical and
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other omics data Specialized skills: Proven track record in analyzing affinity proteomics data (e.g., Olink, SomaScan, Luminex,Quanterix). Experience with data visualization tools (e.g., ggplot2, seaborn
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of extracellular vesicles Experience in handling medical/clinical samples Experience in protein and RNA analysis Experience in data analysis and data visualization Experience in COMSOL and Python programming We
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methods; statistical methods, geoinformatics (including spatial econometrics), AI methods (e.g. NLP methods - Sentiment Analysis, Topic Modelling, Discourse analysis), visualization methods, as