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of science, technology and administration as well as for the education of highly qualified young scientists. We are seeking a motivated PhD candidate to apply the emerging framework of information field theory
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machine learning tools for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute
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RPTU University of Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 17 hours ago
scientists for the coupling of atomic and photonic system to reservoirs. Both goals are equally important responsibilities for society. It is a universally accepted truth that both research and postgraduate
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wider socio-demographic contexts and spread through social networks. Using survey and register data, you will develop typical household profiles, design an agent-based model, and test interventions in
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unknown, and there is an urgent need for quantitative data to inform management and policy. Research methodology This project will examine the effects of Crassula on wetland invertebrates using both
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1 Dec 2025 Job Information Organisation/Company Universitat Autonoma de Barcelona Department Institut d’Història de la Ciència (iHC) Research Field History » History of science Researcher Profile
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9 Dec 2025 Job Information Organisation/Company Sveriges Lantbruksuniversitet Research Field Environmental science Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline
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Job Description If you are curious and proactive scientist with expertise and interest in computational biology and data science, and you are looking to make a difference working on projects
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in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics, in a world-class research environment
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-funded project with 23 partner institutions, that aims to create a robust monitoring network to: support the expansion, improvement and harmonization of existing data, knowledge, and monitoring approaches