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of prior data?) Additional research topics may include: Algorithmic Transparency and Fairness in Funding Decisions Comparative Analysis of Funding Models AI-Driven Predictive Analytics for Funding Success
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-electron microscopy and data analysis Good communication and interpersonal skills Motivation and a collaborative mindset What we provide to you: Open access to CEITEC MU core facilities with state-of-the-art
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, structural equation modelling, visualisation, preferably in R Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental
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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modeling, data analysis, and soil sciences? Do you want to participate in a large-scale
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and clinical phenotype information. Using these datasets, you will undertake comprehensive strategies aimed at the characterisation and therapeutic targeting of medulloblastoma biology, focussing
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application-oriented research that unlocks the potential of data through rigorous analysis – advancing solutions in societally relevant domains. Your profile Master’s degree in Statistics, Industrial
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/College research strategy. 2. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. 3
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expansion microscopy (ExM) into our existing workflow. The goal is to visualise serotonergic wiring at subcellular resolution across developmental stages, enabling analysis of how circuit assembly is altered
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experience should cover basic chemistry analytical skills to large scale pilot experience, hands-on, and data analysis. This includes experience on corrosion, kinetics, emission impurities, and solvent
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effector functions. Such understanding is essential for the development of new therapies against cancer and infectious diseases. Further information on our work can be found on our homepage and in our