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omics platforms (e.g., fluorescence microscopy, mass spectrometry imaging (MSI), Raman systems) and will develop computational and statistical data analysis methods to improve data quality, information
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immediately) Supervisor(s): Prof. Tilman Grune / Prof. Christian Stoppe Enrolment in a Doctoral Program: German Institute of Human Nutrition / University of Potsdam Project description: This project aims
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explainability methods into LLM-based pipelines Develop and evaluate prompt engineering strategies (zero-shot, few-shot) Support experimental setup, data generation, and evaluation of model behavior Write, test
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) and related to the major multi-national initiative “GOE-DEEP” supported by the International Continental Scientific Drilling Program (ICDP) and aiming to study the climate at the time of the first rise
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combination with methods of nonlinear spectroscopy. The spectral range includes in particular XUV radiation and soft x-rays, where experiments at in-house sources are complemented with the use of accelerator
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a Postdoctoral Researcher (Postdoc) - Artificial General Intelligence (AGI
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microbiome composition Apply explainable AI methods to identify robust microbial indicators and interpretable ecological patterns Contribute to the analysis of microbial co-occurrence and interaction
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combination with methods of nonlinear spectroscopy. The spectral range includes in particular XUV radiation and soft x-rays, where experiments at in-house sources are complemented with the use of accelerator
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for research and employees from all over the world. We are looking for a Postdoctoral Fellow in Biochemistry-Proteomics (f/m/d) (Ref 01/2026) to join the group ‘Molecular Pharmacology & Cell Biology’ led by Prof
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methods Ability to work in a team International experience Good written/spoken English skills Experience in interdisciplinary collaboration Further information: For questions, please contact Prof. Dr