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communities. The particular focus is to enhance the Joint Species Distribution Modelling to meet the challenges introduced by the analysis of ecological data collected with modern technologies and artificial
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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
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. In parallel with your experimental work, you would develop theoretical models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse
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Wellbeing Across Lifespan (SWAN) brings together expertise from the fields of medicine, life sciences, social sciences as well as computer and computational sciences to promote scientific and societal impact
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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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hand, forest trees take decades to mature, meaning that the seedlings begin their growth in a different kind of environment compared to the one they face as adults. How will the current forest tree
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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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2019 https://doi.org/10.1038/s41596-018-0110-x and Lara et al., arXiv:2503.21396 https://doi.org/10.48550/arXiv.2503.21396 )). In parallel with your experimental work, you would develop theoretical
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) Country Finland Application Deadline 30 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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medication security are challenged by the high costs of development, manufacture and distribution, evaluation of preclinical safety and efficacy, and the dependence of drug manufacturing on international