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skilled doctoral researcher (PhD student) that will work in a vibrant and international research environment as part of a Research Council of Finland funded project on RNA-mediated pathogenicity mechanisms
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on personal performance. The annual gross salary is €29,500 – 38,000. Researchers receive occupational healthcare and five to six weeks’ annual paid holiday. The position is filled with a six-month
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, inspiring, and supportive work environment. HiLIFE is a life science institute at the University of Helsinki established in 2017 supporting high quality research across campuses and life science faculties
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researcher will join the Biodiversity Change research group, and they will work under the supervision of Julia Kemppinen , the assistant professor in biodiversity change. About the position The work tasks of
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skilled doctoral researcher (PhD student) that will work in a vibrant and international research environment as part of a Research Council of Finland funded project on RNA-mediated pathogenicity mechanisms
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, computational electromagnetics, transformers and/or electrical machines. The work will be divided and adjusted for the 2-3 researchers based on their interests and background. The work can contain e.g. some of
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technology in general. As the topic matter is quite broad, several researchers with different expertise’s are planned to work on the project. Please report any experience you have digital signal processing
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of these emerging contaminants in the subsurface and will provide modelling tools to quantify groundwater pollution risks. The main duty of the Doctoral Researcher (PhD student) is to work towards a doctoral
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the recruitment system, please contact recruitment@helsinki.fi . Where to apply Website https://www.timeshighereducation.com/unijobs/listing/388214/doctoral-researcher… Requirements Additional Information Work
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. The research work will focus on enhancing GNSS localization under interference scenarios using 3D Geographical Information Systems (GIS) data; possible methods include, but are not limited to: Bayesian