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metabolism Key Responsibilities Lead metagenomic, proteomics, and metabolomic profiling of clinical and experimental samples to identify dysbiosis signatures. Apply bioinformatics tools for microbiome data
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. in Bioinformatics, Computational Biology, Data Science, Artificial Intelligence, or a related field. Proven experience in multi-omics data integration, omics data analysis (genomics, transcriptomics
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CBS - Postdoctoral Position: Artificial Intelligence Applied to Metabolomics for Health Applications
present at international conferences. Mentor graduate students and contribute to building capacity in AI and health data science at UM6P. Required Qualifications: Ph.D. in Bioinformatics, Computational
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: Genomics and transcriptomics platforms Medical imaging platform Animal research facility Bioinformatics and data science tools.... 3. A dynamic anglophone academic and research environment. 4. Strong
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Responsibilities: Teaching and Instruction: • Develop and teach undergraduate and graduate courses in biotechnology engineering, including but not limited to genetic engineering, bioinformatics, biomaterials
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Animal research facility Bioinformatics and data science tools.... A dynamic anglophone academic and research environment. Strong institutional and clinical partnerships with national and international
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. Utilize high-throughput sequencing technologies to analyze soil microbiomes and interpret the data using bioinformatics tools. Collaborate with interdisciplinary teams of researchers, including soil
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of the bioinformatics laboratory at the college of computing (bioinformatics.um6p.ma). The project aims to build a simulator for the response of mutations at different levels. The candidate will be
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: A Ph.D. in soil ecology, microbiology, soil biology Strong background in molecular biology and microbial ecology, with experience in high-throughput sequencing techniques and bioinformatics analysis
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Solid experience in nucleic acid isolation, PCR, RT-qPCR, and gel electrophoresis Solid experience in gene overexpression and/or silencing Proven knowledge in either four of these bioinformatics tools