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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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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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and morphological analysis of microglia and neurons Apply for postdoc fellowship with help from the lab whenever possible. Requirements Essential requirements PhD in neuroscience Hands-on experience
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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
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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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made. Ability to develop and conduct high-quality research. Teaching ability Prior experience with simulations and data analysis in particle physics or similar Strong programming skills in C++ and Python