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overarching goal of identifying novel therapeutic strategies targeting pro-tumorigenic stroma–epithelial interactions in CRC. The person will focus on applying innovative bioinformatics approaches to human
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interpreting disease-related data together with experimental and clinical collaborators. Bioinformatics analyses guided by prior mechanistic knowledge will be conducted, exploiting the known grouping structures
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ecosystems, and translational applications in clinical and biotech fields. DCs will benefit from expertise across molecular biology, bioinformatics, clinical research, and environmental science, supported by
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bioinformatics analysis Collaborate with international partners to achieve research goals Prepare manuscripts for publication in peer-reviewed journals Present research findings at national and international
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expertise across molecular biology, bioinformatics, clinical research, and environmental science, supported by collaborations among academia, industry, and public sector partners. For further details about
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of Biochemistry, Molecular/Cell Biology, and/or BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset
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analysis environments commonly used in bioinformatics and systems biology Proficient in either Python or R and good knowledge of data science environments Familiarity with Unix environments Strong working
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), immunofluorescence and microscopy Prior experience in RNA biology, NGS and/or Metabolism is an asset Understanding of common bioinformatics approaches and experience with one of the main programming languages for data
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Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data
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addresses of three referees (if available) Online applications should be addressed to: Prof. Dr. Reinhard Schneider, Head of the Bioinformatics Core Facility and Head of the ELIXIR-Luxembourg Node. Early