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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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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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at detecting gravitational forces for the first time within a quantum system. We use mechanical oscillators loaded by milligram masses and bring two such gravitationally interacting oscillators into nonclassical
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, economic and social systems with the objective to enable innovations, create value and advance businesses towards high efficiency, profitability, and sustainability. The IEM is a strong research unit of 13