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is open, in the last five years or the extended period requested, if accepted by the committee, with a weight of 80%, based on the following parameters: IV.2.1.1. Scientific, technological, cultural
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
for deciphering organic matter dynamics in the Arctic Ocean (f/m/d) Background The Helmholtz School for Marine Data Science (MarDATA) is looking for a graduate in computer science, computer engineering, applied
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, as well as methods of parameter estimation and stochastic modelling experience in analysing processes interlinking solid Earth and ice sheet would be an asset excellent problem-solving skills and
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are differentially private algorithms for statistical model parameter estimation under different trust relations. About the project The position is funded by the Norwegian Research Center for AI Innovation and will be
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on the following parameters: IV.2.1.1. Scientific, technological, cultural or artistic production: Relevance, quality and national and international recognition of scientific, technological, cultural or artistic
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conservation practices": PhD student (f,m,div) in the Field of Geodata, Nitrogen and Soil Parameter Modelling Reference number: 18/2025/4 The salary will be based on qualification and research experience
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-management and conservation practices": PhD student (f,m,div) in the Field of Geodata, Nitrogen and Soil Parameter Modelling Reference number: 18/2025/4 The salary will be based on qualification and research
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have control over our spatiotemporal sampling of observational data locations, we first define the population. Next, we sample population units for (1) design-based estimation of population parameters
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23 Aug 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Informatics Computer science » Programming Engineering » Computer engineering Engineering
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? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda Research Institute