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Field
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of successful research projects and publications. Preferably in the areas of genomics and bioinformatics. Excellent analytical and problem-solving skills. Effective communication and collaboration abilities. City
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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any related field, and a good knowledge of molecular biology. The candidate will be part of the bioinformatics laboratory at the college of computing (bioinformatics.um6p.ma). The project aims to build
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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of the University of Cincinnati. Required Education MD, PhD, or MD/PhD in neuroscience or a related field (Bioinformatics, genetics, etc.) Additional Qualifications Considered Experience with rodent models and
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guidelines related to clinical and animal studies Proficiency in multi-omics data analysis, and bioinformatics, preferably preferred Excellent organizational skills, attention to detail, and the ability
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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-weighted imaging, and EEG, in combination with genetic data (GWAS, bioinformatics) from large-scale population cohorts. Positioned at the intersection of biological psychology, cognitive neuroscience, and
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field work Expertise in metagenomic analysis Strong written and oral communication skills Proficiency in bioinformatics for amplicon and metagenomic sequencing Ability to work independently, meticulous
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
is important to note that this position is contingent on T32 funding. Education and Experience: PhD in Computer Science, Bioinformatics, Computational Biology, or related discipline. Knowledge of