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Field
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and immune cell subsets. Your research contributes to a large longitudinal lifestyle intervention study involving clinicians, translational researchers and data scientists. Working closely with a
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Where will you work? You will be appointed at TU Delft and work within a research group with strong expertise in vascular access, large animal models and clinical translation. At the same time, you will
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at the intersection of genetics, epidemiology, and cardiovascular medicine. Using large-scale genetic and health registry data, you will investigate sex-specific differences in stroke risk among patients with atrial
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for a sustainable and healthy future. From forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the full spectrum of the natural sciences. Our teaching and
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); using GenAI, for instance Large Language Models (LLMs) for the extraction and analysis of data as part of health research. Our offer a position for 18 months, with an extension to a total of four years
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project focuses on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High
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at the interface of neuroscience, technology, rehabilitation and clinical practice. Additional Information Benefits We will give you a temporary employment contract (1.0 FTE) of 1.5 years, after which your
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applies methods to extract quantitative information from high-throughput biological images. We seek a postdoctoral researcher to join our efforts to glean insights from large collections of images. There is
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omics-based approaches. Interest in spatial biology, single-cell/spatial omics technologies and the integration of tissue-based, molecular and clinical data. Basic computational and data-analysis skills
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regarding the added value of spectral imaging and super-high-resolution (SHR) imaging. The outcomes of this feasibility phase will guide the development of future large-scale clinical studies. The project