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Field
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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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an experienced Bioinformatics Scientist to advance our research in oral microbiome. Responsibilities for this position include: Collaborate with clinicians and experimental scientists to evaluate and integrate
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Bioinformatic skills, such as homology searching or comparative genomics Communication skills, including oral presentations at conferences, and the preparation of scientific reports and/or publications. To be
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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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mechanisms determining their separation. The project will either have a strong emphasis on theory, molecular biology techniques and microscopy, and/or on bioinformatic and evolutionary analyses. Main
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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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following areas: plant biology and spectroscopy, evolutionary biology, bioinformatics, biochemistry, functional genetics, plant physiological ecology and remote sensing. All candidates must have received a
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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 | 21 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