126 data "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral positions at University of Oxford
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About the role We seek a motivated Postdoctoral Researcher to make use of spatial proteome and transcriptional cell atlas data to explore how two microbial cells can manifest stable endosymbiotic
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-learning models based on first-principles data and apply these methods across increasingly complex structures and chemical systems. The role will involve both methodological development (datasets, models
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it is imperative that samples are promptly received and processed in a timely and rigorous manner, and all data and methodology is recorded in an organised and precise manner electronically
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ability to write clean, well-documented analysis code. Ability to work with EEG data and apply multivariate methods to extract meaningful measures relevant to memory and consolidation. Skilled in developing
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demonstrable molecular biology skills. You will be able to design the experiments, execute the experiment using various molecular biology techniques, and help analyse the data. You will have highly effective
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team working skills. Informal enquiries may be addressed to Prof Ioannis Havoutis (email: Ioannis.havoutis@eng.ox.ac.uk subject tag [PDRA Robot Scouting]) For more information about working at
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the ability to design and manage independent research, analyse and publish complex biological data, and work effectively within a collaborative team environment. An interest in translational science and drug
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of human samples collected as part of this clinical trial must comply with the Medicines for Human Use (Clinical Trials) Regulations 2004 and will provide the primary endpoint data that will dictate
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of extension by 1 year. This project involves searching new particles using the data from the ATLAS experiment at the Large Hadron Collider. The successful candidates will analyse data from the ATLAS experiment
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experimental protocols; test hypotheses and analyse scientific data from a variety of sources; contribute ideas for new research projects; develop ideas for generating research income, and present detailed