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following criteria, you are encouraged to apply. In order of decreasing importance, you should: Have a PhD in some area of nucleic acid research preferably with bioinformatic or computational focus. Have
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clinical research. Required Qualifications: A PhD in computational biology, bioinformatics, genetics, AI, machine learning, computer science, or a related field. Demonstrated experience analyzing single-cell
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental
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outputs, including: A return-of-data blueprint Prototype participant reports An evaluated framework for future implementation Your Profile Master's degree and PhD in computational biology, bioinformatics
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(bioinformatics) present results at group meetings, seminars and conferences and contribute to high-quality publications Your qualifications you are a motivated and enthusiastic scientist who can work independently
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» Biological engineeringYears of Research ExperienceNone Additional Information Eligibility criteria - Applications from holders of a PhD in theoretical chemistry or bioinformatics will be given priority
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degree (PhD or equivalent) in the life sciences (e.g. Biology, Molecular Biology, Biomedicine, (Bio-) Chemistry or similar) Strong interest in human genetics, bioinformatics, research and development in a
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
to achieve these goals. The post doctoral research associate will perform these experiments, which will require expertise in mammalian tissue culture, molecular biology, bioinformatics, coding, and data
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experience and enhanced potential to receive an ERC Starting Grant in the future. Open to both PhD (natural sciences) and MD (medical sciences) holders. From a variety of academic backgrounds: molecular
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Posting Close Date 05/31/2026 Qualifications Minimum Education and Experience PhD or MD in biomedical engineering, data science, computational sciences, neurobiology, psychology, epidemiology, cognitive