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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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may be extended for a further year to include the quantification of 107Pd and 126Sn. You have a PhD in analytical chemistry. You have : - Laboratory skills in chemical analysis using ICP-MS. - Skills in
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international partners, building a robust network for your career. · Life in Paris & Beyond: Work on a vibrant campus just 20 km from the heart of Paris, enjoying the city’s cultural and scientific
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outsourcers. Data analysis basics (with Python or MatLab) is also demanded. General knowledge about embedded software programming may be required (but not compulsory).
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Hochschule München, jointly funded by the ANR and the DFG. Candidates should have a PhD in physics with good background in oxide materials, ferroelectrics or photoemission spectroscopy. The initial contract is