635 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" "IFM" Fellowship positions in United Kingdom
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conditional subject to a satisfactory PVG Scheme record check. We will be in touch regarding requirements related to this. Further information is available at : https://www.mygov.scot/pvg-scheme The University
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to be able to support a visa application - http://go.qub.ac.uk/internationalstaffsupport Candidate Information
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-assess whether the University is likely to be able to support a visa application - http://go.qub.ac.uk/internationalstaffsupport . Candidate Information
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confident in handling the relevant data and be competent in programming on either MATLAB or Python. You will also be enthusiastic about building and troubleshooting your experimental rig. You will have the
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outputs with electrochemical performance data from a variety of analytical techniques (e.g. diffusion, conductivity, power density etc) (D) Highly confident and articulate with outstanding communication and
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science, and data-driven optimisation. You will accelerate the transition from batch to continuous flow processes. You will interact with project partners in the pharmaceutical sector to demonstrate
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About us The UCL Laboratory for Molecular Cell Biology (LMCB, http:/www.ucl.ac.uk/lmcb) is an internationally renowned, multidisciplinary, molecular and cell biology department, located in the heart
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collaborations with the NHS, government bodies, and industry—particularly within the region's flourishing digital sector. Our core research strengths include Artificial Intelligence and Data Science, Machine
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require development of advanced experimental and data analysis skills and will work closely with the Doctoral candidate working in Cambridge on data assimilation (https://www.imft.fr/dc10-arterial
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skill in analytical instrumentation and related methods Strong command of technical writing, data reporting, and quality assurance/QA-QC practices Candidates with the following would have an advantage