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solve the biggest challenges of our time and turn them into sustainable growth and well-being. Our cross-disciplinary community of over 2300 brilliant minds from 60 different nationalities is focused
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. We will develop an isotope version of a process-based CH4 model and update the representation of different wetland types in the model using a data inversion approach. Additionally, we will analyze
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for different types of multivariate data, such as time series, spatial data, spatio-temporal data, functional data or tensor-valued observations. The work of the postdoctoral researcher will focus on developing
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will have the opportunity to develop your skills as a part of the University’s high-quality Research Services. You will be supported by skilled colleagues and the University work community. Your well
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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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measure or infer methane-related processes, fluxes, microbial composition, vegetation, and key environmental variables from different wetland types at a high temporal resolution. The comprehensive dataset
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Fellow, you will develop a collaborative project under the supervision of two Nordic EMBL PIs at two different sites. You will obtain a 30-month, full time postdoctoral employment at the institution
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the different faculties and research units. The candidates are expected to carry out their own research within the scope, typically working in collaboration with existing research groups at the university. In
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colon cancer (CRC) and its metastasis to distant organs. The goal is to identify microbial strain specific differences in CRC-associated strains using matched oral, normal and tumour samples and their
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together University of Helsinki research across nine different units, to address challenges relating to the production, processing, distribution and use of food and drug products without compromising human