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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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. Working place The Department of Immunotechnology engages in research ranging from advanced technology development to biomedical studies. The main research areas include immuno-oncology
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development, and secure systems design. Our users include researchers, industry partners, and healthcare providers of national significance. Learn more at datahub.aida.scilifelab.se . You will be
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develop methods within one, or multiple, of the following categories: Optical engineering, fluorescence microscopy, image analysis: Development of microscopes, fluidics, and data
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Uppsala’s position as a national and international hub for antibiotic development and translational innovations. This creates significant opportunities to accelerate research efforts and deepen our
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advanced national postgraduate courses. Engage in the strategic development of advanced machine learning and AI at the bioinformatics platform, the DDLS program and SciLifeLab as a whole, in close
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activities in areas such as numerical analysis, mathematical modelling, development and analysis of algorithms, machine learning, optimization, scientific software development and high-performance computing
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research” and “FAIR data” are central concepts to us, and we value experience in the development of reproducible code through code sharing platforms, version control, workflow languages and container
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. We care about creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. Our team
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resistance is therefore crucial for the development of more effective treatment strategies, biomarkers for risk stratification, and individualized therapies that can improve patients’ survival and quality of