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and/or statistical algorithms to classify building and land-use types relevant to electrical consumption Label and prepare training data for AI models; develop automated pipelines for classification
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. This approach not only enhances the detection process but also reduces the need for extensive labeled datasets. The main goal of this project is to develop and evaluate a transfer-learning approach that converts
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for recognizing and adapting to unknown object types. Incorporate language processing to interpret natural language input, infer motion characteristics, and refine object labels. Develop introspection techniques
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The Senckenberg Biodiversity and Climate Research Centre (SBiK-F), which is part of the Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), is seeking to fill the
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solutions that are applied in current and future key research topics. Become a part of our team and join us on our journey of research and innovation! Be part of change Analysis and preprocessing of various
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Country Germany Application Deadline 31 Dec 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Other EU programme Is
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jumbo phages towards phage therapy applications. This project is part of the priority programme New Concepts in Prokaryotic Virus-Host Interactions – from Single Cells to Microbial Communities (DFG SPP
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Degree PhD Course location Münster In cooperation with Max Planck Institute for Molecular Biomedicine Teaching language English Languages English Full-time / part-time full-time Programme duration 8
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W3-Professur für „Pandemic Preparedness and Zoonotic Infections“ // Full Professorship (W3) in Pande
Full Professorship (W3) in Pandemic Preparedness and Zoonotic Infections University of Veterinary Medicine Hannover (TiHo) As part of its strategic development of the research focus Infection
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passionate about creating a pioneering map where calories are located and microbially transformed in a soil aggregate? Then this exciting PhD opportunity is for you! The project is part of the SoilSystems SPP