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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a PhD Candidate / Software Developer for Aerospace Knowledge Base (m/f/d
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models (FELASA certificate), CRISPR methods, and metabolic assays are advantageous but not absolutely required We offer: A varied and exciting role in an innovative research environment A dynamic and
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the facility. Provide expert-level user support, including training on instrument operation, assisting with sample preparation, method optimization, and complex data analysis. Adapt and optimize advanced
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-filler composite fabrication Experience with at least several of the following techniques: SEM, SAXS, DLS, DSC, TGA, DMA, AFM, rheology, adhesion testing, FTIR, Raman, or comparable methods Evidence of
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international journals with peer review Outstanding knowledge in statistical and quantitative analyses methods; preferable are also experiences with longitudinal studies and the analysis of longitudinal data
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central aspect of your research lies in the combination of qualitative and participatory research methods with quantitative research methods to integrate different normative perspectives with analytical
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, DLS, DSC, TGA, DMA, AFM, rheology, adhesion testing, FTIR, Raman, or comparable methods Evidence of scientific output (e.g., peer-reviewed publications, preprints, patents, software, industrial reports
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the following: A background in experimental neuroscience, animal behavior, or cognitive psychology Experience with data analysis, programming (e.g., Python, MATLAB, R), and statistical methods
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encouraged to apply. An adequate knowledge of metallic materials, biomaterials, electrochemistry and electrochemical methods, chemical coating technologies and related surface analytical techniques is needed
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to improve existing methods for the detection, prevention and treatment of lung diseases and to develop new, innovative therapeutic approaches. JOB DESCRIPTION We are seeking a highly motivated PhD