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Are you interested in developing new image analysis and machine learning methods for cancer diagnostics and clinical decision support? Would you like to work in a multidisciplinary team together
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R and/or Python, with experience in data integration and statistical analysis. Exposure to RNA therapeutics or functional genomics approaches is an advantage. Strong interest in interdisciplinary
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on the University website about being a Lund University employee: Work at Lund University Work assignments The PhD student will be responsible for the analysis of advanced 4D live-cell microscopy data
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doctoral student at the Department of Medical Epidemiology and Biostatistics (MEB) at Karolinska Institutet (KI). You will also be part of the national DDLS Research School, an initiative by SciLifeLab and
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, protein structure analysis, and sensitive data will be considered a strong merit. The candidate is expected to work with clinical data. A completed master’s degree is considered a merit. The position will
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representations Analysis of structure–function relationships between morphology and movement Modelling genome–phenotype relationships using machine learning and genomic language models The project offers a unique
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methods for detailed analysis of different RNA molecules in blood samples and contribute to a new research field with strong clinical potential. What you will work on The successful candidate will be
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postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning
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, fundamental and strategic plant biology research is conducted on wild species, agricultural crops, forest trees, bioenergy crops, and model organisms. Our main research areas include genome analysis