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visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image processing and analysis. CIPA is also the
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with researcher Jeffrey Paller, the assistant is expected to implement analysis plans to support various academic articles. The main tasks include data cleaning, data summary, visualization, and
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looking for a highly motivated person with a passion for driving research development forward. The ideal candidate has a solid background in data analysis, excellent problem-solving skills, and
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the analysis and quality control of 4D Flow MRI data. Developing and validating patient-specific mathematical models and digital twins. Quantifying hemodynamic parameters and biomarkers related to
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. We are looking for a highly motivated person with a passion for driving research development forward. The ideal candidate has a solid background in data analysis, excellent problem-solving skills
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diagnosis and treatment, with a particular focus on hypertension and other cardiovascular diseases. The work involves advanced processing and analysis of 4D Flow MRI data, as well as the integration of image
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access to advanced instrumentation and training in data analysis, scientific communication, and collaborative research. About the position We are seeking a PhD student who will advance the understanding
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Landsat and/or Sentinel-1/2 time series. Strong proficiency in Python for geospatial data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very
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microbial interactions using experimental evolution, microbial ecology, bioinformatics and quantitative analysis. We combine experimental microbiology with data-driven approaches and collaborate with national
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, progression, and treatment response. This position focuses on the application and development of bioinformatics methods for the analysis of genomic cancer data, including large public international