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methods including single-cell genomics and computational tools will be used to address the questions. Who we are looking for A relevant doctoral degree; e.g. bioinformatics, biostatistics, immunology, life
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. Beyond our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. Furthermore, the lab also hosts state-of-the-art facilities dedicated
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to 5 and more years. Requirements: • You have a PhD degree (or postgraduate degree MSc) in a computational discipline, preferably with significant experience in Bioinformatics or Computational Biology
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Location: University Mohammed VI Polytechnic, College of Computing, Bioinformatics Laboratory, Ben Guerir, Morocco. Duration: 2 years About the Lab/Institution: The Bioinformatics Laboratory
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Postdoctoral Researcher in Bioinformatics & Computational Biology University of Oklahoma Norman Campus: Gallogly College of Engineering: School of Computer Science Location University of Oklahoma
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salinization. Research will involve state-of-the-art metaproteomics, bioinformatics, and functional microbiome studies conducted in field trials, greenhouse experiments, and laboratory settings. This role will
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
of human diseases. The applicant will use genomic and bioinformatic techniques to detect chromatin loops, enhancers, transcription factor binding events, and other genomic and proteomic phenomena
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nanopore sequencing technologies to generate and analyse rabies virus genomes. This role will focus on generating high-quality consensus sequences, performing bioinformatic analyses, and contributing
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on the genome sequence analyses and you will develop bioinformatics pipelines for sequence analyses, lead the bioinformatic analyses with colleagues in Southeast Asia, and provide training and support to
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data, and reporting findings via written and oral communications. The post-doctoral scholar will be expected to play a critical role in conducting bioinformatic and biostatistical analyses to generate