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. Applicants should possess a Ph.D. degree in Biomedical Engineering, Biochemistry, Cancer Immunology, Genomics, Bioinformatics, or a related field, and demonstrate exceptional experimental, writing, and
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determinants of health, and integrative bioinformatics strategies, with a special focus on AI/machine learning approaches to derive new clinical insights at scale. Basic working knowledge or publication track
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Designated Comprehensive Cancer Center, as well as Genomics, Bioinformatics, and Organoid Shared Resources. The University of Colorado offers a comprehensive benefits package. To see what benefits
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. You will write research articles and present the results at national and international conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics
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Biology is organized into seven research programmes which all focus on different areas of cell and molecular biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular Biology
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to participate in regular lab meetings, departmental research meetings, and supervise research students. You will gain interdisciplinary research experience in cancer multi-omics, bioinformatics, and artificial
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Science, Physics, Applied Mathematics, Statistics, Computational Biology, Bioinformatics, Systems Biology, or related fields. Proficiency in at least one programming language (e.g., Python, Julia, R, C/C
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have the necessary experience and skills to contribute to the research project by applying Drosophila genetics, genome editing, molecular biology, microscopy and bioinformatics to identify and test
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that control the response to low oxygen conditions in Marchantia polymorpha. They will contribute both to the practical work with plants but also some bioinformatics work on protein structure and function
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related field. You bring strong quantitative skills (e.g., R/Python, bioinformatics pipelines) and experience with high‑throughput sequencing and/or acoustic data analysis. You thrive in international