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to develop and utilize innovative, interpretable data-driven analysis methods to significantly advance our understanding of immune cell inter-relations within the cancer microenvironment. We will apply
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tissue formation, and limited spatial precision. Building on our recent advances in enzyme-triggered electrode fabrication in living systems (Strakosas et al., Science, 2023, https://doi.org/10.1126
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Karolinska Institutet, as stated above and also have: A master’s degree in medicine, biomedicine, or a related field. Previous exposure to methods in cell biology and molecular biology. Good communication
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magnetomotive ultrasound. Validation will be carried out partly using phantoms (test objects) and will also include cell studies. We offer Lund University is a public authority, which means that employees get
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Systems conducts research and education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Read more about us here: https://liu.se/en
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the graduate school. The DDLS program has four strategic research areas: Data-driven precision medicine and diagnostics, Data-driven transmission and infection biology, Data-driven cell and molecular biology
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experimental and analytical components and will be carried out in close interaction with another PhD student in the group who has a stronger wet-lab focus on reservoir biology, cell culture, and intact/defect
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mobility, interdisciplinary work, and close collaboration with different societal stakeholders. Your qualifications You have obtained a second-cycle degree in a relevant field, for example environmental
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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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communication and collaboration skills Nice to have: Background in bioinformatics or biology Experience working with biological or medical data Curiosity and willingness to learn are highly valued. Requirements