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proteomics, advanced image analysis, and computational approaches to investigate molecular and cellular heterogeneity and to integrate spatial molecular information with histopathological and clinical data. We
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data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written proficiency in English. Excellent communication skills, ability
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experimental design, modelling, programming, or multivariate data analysis, experience in process development and pilot-scale trials involving membrane and/or food processing technologies, experience
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with in vivo calcium imaging (either neurons or glia) Experience with microglia biology or neuroimmune interactions Behavioral experiments Solid data analysis skills (e.g., MATLAB or Python for calcium
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qualifications are considered an advantage: knowledge of cell-based immunotherapy, immunology, synthetic biology, and/or tumor biology, experience in transcriptomic data analysis, preferably at the single-cell
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chains, especially how different actors get involved in different venues and how focused issues change. You should develop theoretical frameworks, be responsible for data collection and analysis, and in
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subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both