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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 21 hours ago
2 Oct 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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2 Oct 2026 Job Information Organisation/Company Wageningen University & Research Research Field Biological sciences » Biodiversity Biological sciences » Botany Environmental science » Ecology
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the landscape of novel target expression, quantify its heterogeneity, and the contribution of tissue architecture as a determinant of expression profiles. This project will involve large scale data processing and
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19 Sep 2026 Job Information Organisation/Company Royal Netherlands Academy of Arts and Sciences (KNAW) Research Field Environmental science » Ecology Environmental science » Global change Researcher
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on large-scale numerical simulations, instrumented experiments, and onboard robotic data could learn generic representations of local interactions between mobile robots and their environment, enabling
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1 Oct 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Environmental science » Ecology Environmental science » Global change Sociology » Rural sociology
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2 Oct 2026 Job Information Organisation/Company Wageningen University & Research Research Field Engineering » Chemical engineering Engineering » Process engineering Environmental science » Water
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 7 days ago
Information for International Applicants Choosing a career in a foreign country is a big step. Thus, to give you a general idea of what we and Gothenburg have to offer in terms of benefits and life in general
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide