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to learn. Interest in tumor metabolism and a strong desire to gain experience in bulk and spatial metabolomics. Solid bioinformatics skills, including familiarity with tools for analyzing omics datasets and
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clinical trials, correlative tissue biomarker analysis, genomics studies. Skills or ability to apply computational approaches and implementation of bioinformatics methods is desired. Developing independence
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following areas: plant biology and spectroscopy, evolutionary biology, bioinformatics, biochemistry, functional genetics, plant physiological ecology and remote sensing. All candidates must have received a
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Africa with the aim of understanding the biology of adaptation in fungal pathogens. The post will use a combination of classical, genomic, molecular and bioinformatic techniques to investigate mating and
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peer-reviewed journals and presentation of findings at conferences. Support the operation and maintenance of analytical instrumentation. About You You will: Hold a PhD in data science (bioinformatics
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phenotypes. The lab uses a variety of experimental (functional genomic, targeted genetic) and computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells
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EMBL-EBI - European Bioinformatics Institute | Hinxton, England | United Kingdom | about 2 months ago
23 Sep 2025 Job Information Organisation/Company EMBL-EBI - European Bioinformatics Institute Research Field Biological sciences Biological sciences » Biology Medical sciences » Medicine Technology
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, genetics, bioinformatics, or a related field.Strong background in neurobiology, systems biology, or neurodegenerative disease models. Prior experience with transcriptomic or molecular analyses in cell
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within the past five years, or anticipated to be received by summer 2026. Preferred skills: Strong skills in molecular biology, population genetics and bioinformatics. Stipend $7,500.00 – $8,500.00 Monthly
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Africa with the aim of understanding the biology of adaptation in fungal pathogens. The post will use a combination of classical, genomic, molecular and bioinformatic techniques to investigate mating and