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Field
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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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in one or more of the following areas: protein engineering, structural bioinformatics, enzymology, and food chemistry. Strong communication skills, with the ability to work collaboratively in a
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expected to be bioinformatic in nature. Applicants must have a PhD in a relevant subject, experience of macrosynteny analysis and phylogenetic analysis of gene families, and a thorough knowledge of animal
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that potentially fix CO2/CO. Molecular and bioinformatic analyses and cultivation to explore genetic resources and microbial strains that contribute to fixing CO2/CO. * Assigned department Existing departments [Work
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Translational Medicine , Nature Methods , Journal of Clinical Investigation , Genome Medicine , and Bioinformatics . Why work for the University? The University of Colorado offers a comprehensive benefits package
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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
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will include comparisons from within the Fungi to comparisons stretching back to the last universal common ancestor. You must be able to conduct a range of bioinformatic approaches involving the use
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, such as bioinformatics, biochemistry, molecular biology, biotechnology, or a related discipline. You must have: Expertise in either computational protein design or wet lab techniques for protein
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Institute of Animal Reproduction and Food Research of Polish Academy of Sciences | Poland | 2 days ago
, Biochemistry, Biotechnology; Bioinformatics). Proven experience in molecular and/or cell biology techniques. Experience in high-throughput data analysis (omics). Demonstrated scientific achievements, including
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-on experience with CRISPR. • Proficiency in electrophysiology, calcium imaging, and/or multielectrode arrays. • Familiarity with machine learning, imaging analysis, and/or bioinformatics. Online Application