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employment. Position description The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council
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six months at the beginning of employment. Position description The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric
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on hierarchical Bayesian models that allow us to integrate heterogeneous, but complementary, ecological and environmental data. Depending on the background and interest of the candidate, the work will focus on a
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are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based on hierarchical Bayesian models that allow us to integrate
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. Please find more information about working at the University of Helsinki and living in Finland Eligibility criteria In order to be eligible, each applicant must fulfil the following criteria: Nationality
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is four A4 pages including references, font Times New Roman 12pt, margins 2,5cm and spacing 1) should include your name, title of the planned research project and description the research objectives
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for developmental disorders'. Objectives of the project relate to 1) differentiating clinical conditions based on rich data (computationally oriented), 2) studying attention deficits in different real-world contexts
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-Generation Detection of Threat Chemicals” funded by the Research Council of Finland in the research group of University Lecturer Markus Metsälä (https://researchportal.helsinki.fi/en/persons/markus-mets%C3%A4l
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educational center and the city has a large student population. As such there is a vibrant cultural scene in the city. To find useful information about the University of Jyväskylä, the City of Jyväskylä and
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the end, in the wellbeing of our planet. Support, coaching and sparring when you feel you need it. Great possibilities for competence development and learning. We constantly keep learning to find the most