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                , aiming for a concentrated process gas suitable for carbon capture and utilization or storage. We are now seeking a postdoctoral researcher who will work on sampling and analysis of products from several 
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                factor in the design of the project. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. A person who is employed as a PhD student 
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                advanced AI/LLM methods. The Staff Scientist will lead development of LLM-powered analysis and knowledge tools (e.g., retrieval-augmented generation over omics + literature, automated data-to-insight 
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                . The core work responsibilities include compilation and analysis of metagenomic data in clinical translational projects. The application deadline is 9 November. Description of the project The work will be 
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                years. The department is involved in several national and international research projects. Creating an inclusive research environment where employees are highly engaged is a key factor in our sustainable 
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                in neuroblastoma utilizing single cell analysis of gene expression, combined with clinical parameters, CRISPR/Cas9-deletion of HIF2a, and overexpression in neuroblastoma cells, followed by analysis 
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                mapping, and scenario analysis. The project is led by Professor Frank Dignum (main supervisor) and Dr. Jason Tucker. Requirements The general admission requirements for doctoral studies are a second- cycle 
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                -Interaction”. Our department conducts world-leading research in several scientific fields, and it has been growing rapidly in the recent years. An inclusive and participatory environment are key elements in our 
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                analysis of complex, longitudinal, and high-dimensional data (e.g., immunometabolic profiles, clinical data, biomarkers). Development and application of predictive models and algorithms for diagnostics 
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                . The candidate will be engaged in synthesis of new materials and characterization of these materials using BET/DFT surface area analysis, DSC, x-ray diffraction, Raman and IR spectroscopy etc. It is also planned