391 computing "https:" "https:" "https:" "UNIVERSITY OF BUCHAREST" Postdoctoral research jobs in United Kingdom
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research outputs. With more than £35 million invested in recent years, SEMS benefits from extensive state-of-the-art experimental and computational facilities, supporting research and teaching across a broad
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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Institute is also a member of Stonewall’s Diversity Champions programme. The John Innes Centre is a registered charity (No. 223852) grant-aided by the Biotechnology and Biological Sciences Research Council.
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, stimulating, diverse research environment and actively promote a family friendly workplace. The Institute is also a member of Stonewall’s Diversity Champions programme. The John Innes Centre is a registered
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; over 90 Research Postgraduate students and over 500 Single Honours undergraduate students. We offer a 3-year BSc degree programme in Biological Sciences and a 4-year MBiol, while also contributing
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partnership with Agrecalc (Farm carbon calculator | Home | Agrecalc ), Farm Carbon Toolkit (Home - Farm Carbon Toolkit ), and the Coolfarm tool (Carbon Footprint Calculator | Measure Water & Biodiversity
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results with electrochemical kinetics analysis and computational insights for mechanistic interpretation of LiNRR and beyond-Li NRR. Collaborate with the project partners and support their research
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Programme Grant on "Quantum Many-Body Physics with Ultracold Polar Molecules'' funded by UK Research and Innovation (UKRI).The research builds upon our expertise in creating ultracold RbCs molecules in
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Hopkins University (USA). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high