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for bioinformatics, ELIXIR Norway , which is a node in the pan-European infrastructure for bioinformatics. ELIXIR Norway is funded by The Research Council of Norway to enable safekeeping, use, and re-use of life
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Cancer Centre in Toronto, Canada. All research groups are internationally leading experts in immunology, cancer, and bioinformatics. The project aims to explore how antiviral defense pathways can be
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biology, field- and experimental work, bioinformatics and statistical modeling. The successful candidate will apply cutting-edge genomic tools to disentangle ecological adaptation and spatiotemporal trends
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viability data to discover new biomarkers and treatment strategies. You will work in a highly interdisciplinary environment spanning oncology, cell biology, imaging, bioinformatics and machine learning, with
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environment spanning oncology, cell biology, imaging, bioinformatics and machine learning, with access to state-of-the-art robotic drug screening and high-content microscopy infrastructure at the NOR-Openscreen
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quality control. • Experience working with 16S/18S rRNA sequencing data and metagenomes. • Experience working with Linux environment and using bioinformatics approaches. • Experience conducting fieldwork
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researchers, molecular biologists, geneticists and experts in bioinformatics. The candidate will benefit from an excellent work environment including access to state-of-the-art biobanking, wearable technologies
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(An endocrine umbrella | Endocrine Medicine | UiB ). The group have members with diverse competences including clinical researchers, molecular biologists, geneticists and experts in bioinformatics. The candidate
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and child Qualifications and personal qualities: The applicant must hold a master's degree or equivalent in the field of medical data science, health information technology, or bioinformatics
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extractions, nanopore sequencing and quality control Experience working with metatranscriptomic or metagenomic data Experience using Linux and bioinformatics approaches, including binning and functional gene