46 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Lausanne" positions at Nature Careers in United Kingdom
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expertise to drive sustainable solutions to humanity’s enduring challenges. We are seeking a Data Scientist in Genomic Epidemiology to support the scientific development and implementation of EIT Oxford's
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computational methods and algorithms for genomic sequencing data analysis, particularly in the context of genome assembly. This is an exciting opportunity to develop novel computational approaches for microbial
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candidate will: Demonstrate experience in biological and clinical data analysis and across a range of NGS applications. Demonstrate experience in generative AI tools and advanced bioinformatics pipelines
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research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. For more information on the Franklin’s Challenges click here . As a Research Associate at the
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, presentations, recommendations and analytics/data visualisation Secure next stage investment for translational projects and spin-outs emerging from Crick research Work with the Business Office Operations team
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, virology and/or infectious diseases Familiarity with clinical metagenomics applications and workflows Foundational skills in bioinformatics, particularly in the analysis of genomic or metagenomic data Key
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of security, legal, and social implications of synthetic biology, automation, and large-scale data-driven science Ability to convene and collaborate with interdisciplinary stakeholders, including scientists
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collaborate with other departments and institutes on the campus including the Department of Oncology, Kennedy Institute (immunology), the Jenner Institute (vaccines), the Big Data Institute (computational
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Hays via apply function or T: 028 9044 6911. For more information, visit the Hays/AFBI website link. Closing date for applications: 12 noon, Friday 30 January 2026. AFBI is an equal opportunities
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Apply gene editing to modulate cellular function Acquire, analyse and review scientific data Work independently to drive the project to completion in a timely manner Click here to read more about the lab