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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
control during embryogenesis. We are seeking a motivated, independent scientist with experience in RNA biology, molecular/developmental biology, biochemistry and/or computational analysis of sequencing data
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approaches to ensure the production of high-quality and reliable data. You are up to date with technical developments in the field of analytical chemistry and bio-informatics and will integrate them in your
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Sheet darkening, and relate them to ice melt at large spatial scales using remote sensing. The postdoc in this project will be the main responsible for the acquisition of data related to snow and ice
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Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months ago
Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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21 Jul 2026 Job Information Organisation/Company ICMAB Department Nanostructured Materials for Optoelectronics and Energy Harvesting Research Field Chemistry » Computational chemistry Researcher
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completing, a PhD/DPhil in Health Economics, Economics, Statistics, Epidemiology, Health Data Science, Mathematics, or another quantitative discipline, and will have experience in health economics, disease
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The School of Computer Science at the University of Sydney is seeking a highly motivated Postdoctoral Research Associate – Security Applications for Data Provenance. This role offers the opportunity
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7 Jul 2026 Job Information Organisation/Company Université de Caen Normandie Research Field Psychological sciences Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth