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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
. Minimum Education and Experience Requirements A Ph.D. in Computational Biology, Bioinformatics, Computer Science, Cancer Biology, or a related field. Required Qualifications, Competencies, and Experience
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in computational biology or related area. Demonstrated experience in computational research. Desired: Research interest in environmental microbiology and/or microbial ecology. Strong software skills
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regenerative medicine. Duties The field of synthetic biology is highly interdisciplinary, combining advanced molecular tools (e.g., CRISPR-based genome engineering), computational algorithms, and DNA/RNA
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, and computational tools. We are looking for a highly motivated individual with a strong background in cellular/systems neuroscience, but also welcome applicants with strong quantitative skills from
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The VIB-UGent Center for Plant Systems Biology (PSB) is a world-leading plant science institute located at the heart of a renowned plant biotechnology campus in Ghent, Belgium. Its mission is to
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strong background in one or more of the following areas: computational biology, genomics, biochemistry, or neuroscience. A strong publication record demonstrating expertise in the relevant field. Team
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explore the cell biology, biochemistry and evolution of the Starship transposons in plant pathogenic fungi. We are seeking creative and ambitious scientists to lead any of the three following research
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-26 academic year. Candidate should possess the ability to work in an interdisciplinary team setting. Experience in molecular biology and cell culture is also desirable. Seeking qualified candidates
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– Abilities Biology, Chemistry, Mathematics, and Statistics. Documentation and records management Data utilization Complex problem solving and critical thinking Resource management Writing skills Preferred
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Neurobiologie (ZMNH) Main tasks You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI (baiome.org) to complement our lively and enthusiastic team of machine learning and