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collaboration and provides access to high-resolution molecular analysis technologies. Mandatory requirements • Experience preparing clinical samples for multi-omics analyses, particularly transcriptomics and
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project TARGETWISE. The candidate will be responsible for conducting machine learning omics data analysis within the computational team. The details on responsibilities, obligations and rights
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Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project will combine data analysis and method development
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include: · Developing simplified 0D thermodynamic and hydrodynamic models for preliminary injector design and sensitivity analysis; · Developing advanced multiphase and multi-species models and performing
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artificial intelligence. Potential research topics include the mathematical and statistical analysis of modern generative models, particularly diffusion- and flow-based models, as well as their applications
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on palaeoecological research, including peatland fieldwork, peat-core analysis and multiproxy reconstruction of past fire and ecosystem responses, alongside FTIR spectroscopy and data integration. You will work closely
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, presence of organic load). 5. Data analysis and reporting Analyze chemical, physical, and biological data using statistical methods and appropriate software. Generate clear, well-structured reports
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design for fMRI studies including the design and implementation of experimental paradigms used in the investigation of cognitive, affective or social processes • Demonstrable experience in the analysis
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of groundwater-model concepts and parameters, calibration, sensitivity analysis, scenario analysis and uncertainty assessment. Programming and data-analysis skills in a reproducible scientific workflow
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on various installations (laser fs or ns, XFEL, synchrotrons, high pulse power), and developing numerical simulations and analysis tools. In order to develop new models into ESTHER, the candidate will be