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experimental research, including experimental campaigns, data analysis and process optimization, while ensuring high standards of laboratory practice, documentation, scientific integrity and safety. You will
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multispectral and hyperspectral UVvisible imaging and synchrotron X-ray analysis to map photoluminescent signatures, analyze elemental composition (heavy metals, rare earth elements, etc.) and the chemical
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Us! The Biosystems Data Analysis (BDA) group at the University of Amsterdam is looking for a postdoctoral researcher to develop and rigorously benchmark quantum-computing approaches for high-impact
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EoLC Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data and disseminate it through peer-review journals, press conference or other means Draft
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performance using industry-standard metrics, including AUC, sensitivity, specificity, precision-recall analysis, and ROC curves. Assess model generalizability across diverse research cohorts. Identify potential
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routinely collected healthcare data. Through the analysis of linked electronic health records, you will generate evidence to inform clinical guidelines, optimise prescribing practices and support healthcare
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TEM/STEM experiments using nanometer-sized electron beams. Development of correlative protocols for ePDF and fluctuation microscopy (FM) data acquisition and analysis, focusing on middle-range order
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analysis. - Knowledge of protein biochemistry and chromatographic techniques. - Knowledge of structural and molecular approaches for protein characterization. - Experience in the analysis of antibodies
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processes used in these channels. He/She will participate in modelling these processes at a global level (flows and organisation) as well as at the product treatment level (analysis of product/operator
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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability