652 data-"https:" "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Dresden Rossendorf" Fellowship positions in United Kingdom
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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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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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team (https://www.cancergrandchallenges.org/rewire-can ). REWIRE-CAN will explore how novel signalling activators can be used to directly kill cancer cells (hyperactivation lethality) and/or transition
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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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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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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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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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, including hybrid physics-informed approaches, to improve the estimation, monitoring and prediction of hydrological variables. Big data integration: Process and fuse multi-terabyte datasets, including
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at 0.33 FTE For four months at 0.25 FTE For five months at 0.2 FTE For six months at 0.16 FTE Further information and informal enquiries may be directed to Bettina Bildhauer at bmeb@st-andrews.ac.uk