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position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific and sectoral gaps in biological imaging
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, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. To be a doctoral student means to devote oneself to a research
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or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide data analysis support to data
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on the effects of plant-based proteins and dietary fibers on intestinal-, metabolic- and mental health. The project applies microbiome analysis, metabolomics, functional brain imaging, and nutritional analyses
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imaging, in vivo hematopoietic stem cell transplantation Experience with preclinical research projects Terms of employment This is a fixed-term, full-time position for two years, starting on 2025-12-01
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radioactivity. Important fields of application are radiotherapy to treat cancer, radiation diagnostics using X-rays, computed tomography, nuclear medicine and magnetic resonance imaging (MRI). We mainly work
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backgrounds: Molecular biology, protein engineering, biochemistry. Optical engineering, fluorescence microscopy, image analysis: Development of microscopes and data analysis pipelines used to acquire and
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optical systems to generate temperature gradients, as well as imaging solutions such as FLIM and Schlieren imaging, in close collaboration with experts in lasers and optics. Co-supervision of undergraduate
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of chromatographic fractionation and mass spectrometric identification or high-content imaging (Cell Painting) methods for characterizing recycled plastics and plastic-associated chemicals. The doctoral student
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. SciLifeLab Lund is comprised of a consortium of nine advanced research infrastructures, with a broad spectrum of focuses that include genomics, proteomics, imaging, structural biology, pharmacological