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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 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
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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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regulations in all research activities Required educational qualification, experience, skills and competencies: PhD degree in Biological Sciences, Microbiology, Cancer Biology (Colorectal Cancer / Translational
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the harnessing and optimizing of T cell function for cancer immunotherapy using genetically modified mouse models, flow cytometry, q-PCR, RNA-seq, western blot, single cell RNA seq, bioinformatics, and
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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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-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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sustainability. For more details, please view https://www.ntu.edu.sg/ase . We are looking for a Research Fellow to carry out bioinformatic analysis of marine metagenomes from Singapore. The role will focus
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Hannover Medical School (MHH) and its cooperation partners TWINCORE (Hannover) and Helmholtz Centre for Infection Research (Braunschweig) offer 10 PhD fellowships as part of the new Research
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with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing of this data, with a major focus on
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. About you Strong quantitative research skills with hands-on experience are essential. You must have experience in application of bioinformatics pipelines to omics data (outside educational settings). You