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research experience, especially in one or more of the following: o Epidemiology, especially in a longitudinal setting o Bioinformatics or omics o Aging or age-related disease Practical experience working
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training in omics-based approaches, such as transcriptomics or proteomics, including basic bioinformatics analysis. Exposure to systematic scientific literature review and manuscript preparation. Eligibility
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subgroups, therapeutic targets, as well as prognostic and predictive biomarkers. The group is interdisciplinary, with expertise in areas such as molecular biology, medicine, and bioinformatics, and works in
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tissue Some documented experience in bioinformatics Experience working with cell cultures The position requires that you are cooperative, analytical (mathematical ability), and genuinely engaged in
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level in computational biology, physics, applied mathematics, computer science, bioinformatics, structural biology, or a related subject or completed courses with a minimum of 240 credits, at least 60 of
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quantitative genetics and plant biology. We expect the candidate to have an academic background in plant genetics and genomics, ecology, plant biology, agronomy, bioinformatics, biotechnology or a related field
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of microbial communities using 16S rRNA gene sequencing, followed by bioinformatic analysis. It further includes applying hierarchical and mixed‑effects models and integrating microbiome data with environmental
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, bioinformatics, quantitative and structural proteomics, as well as structural biology (cryo‑electron microscopy), to determine the interactions between intact bacteria, bacterial virulence factors, and human
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and adaptive immune system. The work tasks include methods within molecular biology, bioinformatics, quantitative and structural proteomics, as well as structural biology (cryo‑electron microscopy
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, genetic manipulations, analysis of genomic rearrangements, telomere assays, and RNA sequencing. The activities include literature review, lab working and computational bioinformatics analysis. Your