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and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving
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of the following topics: Strong emphasis on telecommunications and networks theoretical background Knowledge of 3GPP standards up to 5G at the system level Data Analytics and Management Problem solver Knowledge
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design and mitigation for people and nature Good level of analytical skills and the ability to communicate complex information clearly, both orally and through the written word Experience of the scientific
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this advert. You do not need to upload a research proposal. Contact Details For more detailed information contact Assoc. Prof. Sebastian Bader (email: sebastian.bader@miun.se, phone: +46 (0) 10 142 80 95
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Your Job: You will work in the Electrocatalytic Interface Engineering department, which is headed by Prof. Dr.-Ing. Simon Thiele. The department focuses on the fabrication, analysis and simulation
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essential for candidates to hold a driving licence (incl. an international licence) as the role involves some field sampling around the UK. For further information please contact: Dr Tao Lyu and Prof Bruce
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load predictions for wind turbines, specifically the foundations, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime
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the German Research Foundation (DFG), at the University of Tübingen. The project is led by Principal Investigators Prof. Dr. Michael Franke, Dr. Marlen Fröhlich (both Tübingen) and Prof. Dr. Manuel Bohn
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bioinformatics Likelihood of advanced skills directly related to the research projects High level of analytical and problem-solving capability Ability to communicate complex information with clarity and to
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. Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. Applicants should contact Prof Amanda Prorok for further information. http