16 evolution-"https:"-"https:"-"https:"-"https:"-"Gustave-Roussy" research jobs at Ellison Institute of Technology
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the Rehm Lab at GBI. The Rehm Lab, led by Principal Investigator Fabian Rehm, is building next-generation platforms for continuous evolution. We engineer orthogonal replication systems that drive
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Institute Employer Ellison Institute of Technology Location Oxford, Oxfordshire Salary Competitive Compensation + Benefits Closing date 24 Nov 2026 Website https://www.eit.org/ View more categories View
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orthogonal replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to
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orthogonal replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to
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Biology Institute Employer Ellison Institute of Technology Location Oxford, Oxfordshire (GB) Salary Competitive Compensation + Benefits Closing date 18 Oct 2026 Website https://www.eit.org/ View more
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Institute of Technology Location Oxford, Oxfordshire (GB) Salary Competitive Compensation + Benefits Closing date 18 Oct 2026 Website https://www.eit.org/ View more categories View less categories
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Liu Lab for Synthetic Evolution at GBI (), led by Principal Investigator, Chang C. Liu. The Liu Lab is broadly interested in mapping the relationship between macromolecular sequence and biological
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interested in all research that is consistent with GBI’s vision. Some relevant areas include: Molecular and Cellular Design and Evolution. Enzyme design. Design of molecular assemblies and machines
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inbox. Create alert Similar jobs Postdoctoral Fellow in Ancient DNA and Molecular Genomics Austin, Texas Assistant Professor -Genetics, Genomics, Evolution, and Development - Molecular and Cell Biology Berkeley, California (US) Masterstudents (f/m/x) – RNA Quality Control Lab Germany
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: Research, design and build AI and machine learning systems to address GBI’s research challenges in synthetic biology, genome design, and molecular evolution. Lead and contribute to collaborative