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. Meritorious A degree in bioinformatics, computational biology, (bio)statistics, (applied) mathematics, computer science, or a related field; candidates from other fields with strong programming/coding skills
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, spectroscopic signatures, microstructural images, processing conditions, and macroscale performance will be used for the optimization of materials. The candidate will collaborate extensively with in
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monitoring of health. The precision medicine research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records
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from vascular lesions and blood, combined with genetic, clinical/epidemiological and imaging parameters from patients. We also perform in depth functional studies in animal and cell culture models
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courses, or- have acquired largely equivalent knowledge in some other way, in Sweden or abroad. The employment of doctoral students is regulated in the Swedish Code of Statues 1998: 80. Only those who
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or plant phenotyping, or image analysis. Experience with isotope tracing, physiological measurements, or nutrient analysis. Skills in statistical modelling (e.g. R), multivariate analysis, or trait-based
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imaging, mathematical modelling, and functional genomics, receiving experimentally testable predictions generated by state-of-the-art predictive models. These predictions will be rigorously validated using
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. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential
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large-scale clinical, laboratory, registry, or other health-related data (experience with Nordic registry data is a plus). Familiarity with biomedical ontologies, controlled vocabularies, or coding
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registry data is a plus). Familiarity with biomedical ontologies, controlled vocabularies, or coding systems such as SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms), NPU (Nomenclature