98 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at Nature Careers in United Kingdom
Sort by
Refine Your Search
-
, to generate crucial information revealing the cellular roles, functions and underlying mechanisms by which MICL regulates immunity. The focus of this work will be to elucidate the components of MICL involved in
-
throughput improvements, and ensure reproducibility across multiple crop systems. The successful candidate will lead a technical team and develop robust, data-driven platforms that enable rapid construct
-
Application Information Please ensure you include the following documents in your application: As a valued member of our team you can expect: A competitive salary. An exciting, positive, creative, challenging
-
related fields. Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable. Proven ability to work independently, think creatively, and solve
-
the intellectual energy and independent thinking necessary to lead a programme of cutting-edge research and to shape the overall aims and success of the group. Drive rigorous experimental design, execution, and data
-
aims and success of the group. Drive rigorous experimental design, execution, and data interpretation, ensuring robust and reproducible scientific outcomes. Manage research program through stage gated
-
of what’s possible. Founded to commercialise research generated over the last decade at the Cavendish Laboratory, Nu Quantum is on a mission to shape the future of quantum information systems. We’re working
-
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
-
Institute provides expert support to enable research involving human materials and data, while building institutional capability in key areas such as stem cell biology, genetic modification, and human model
-
the Centre, enables collaborations in data analysis, computational modelling, machine learning and theory. SWC also benefits from interaction with the wider UCL Neuroscience community, which brings together