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well as colleagues from IRCP team (CQSD-MPOE) such as Philippe Goldner. An added value of this PhD lies in the established collaborations with LSPM and LuMIn, enabling the student to gain hands-on experience in plasma
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approaches. The candidate should have past experience in bioinformatics and a strong background in experimental work (ideally basic molecular biology and cytology/imaging). Experience with nematodes would be
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include well-equipped wet laboratories, with conventional labs for non-radioactive experiments, shielded labs for radiochemistry equipped with dedicated hoods for work with α-emitters or high-energy γ-rays
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Experience1 - 4 Research FieldMathematics » AlgorithmsYears of Research Experience1 - 4 Additional Information Eligibility criteria You hold a PhD in computer science or another field, with experience in
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the context of LH materials, we conduct time-resolved spectroscopy experiments - UV/VIS absorption and fluorescence. We will carry out these experiments in the frame of the DEVILISH ANR project (2024-2027
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nanorods interactions from experimental data. The ideal candidate has significant experience in computer simulations and programming, as well as a strong background in statistical mechanics. Where to apply
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study high quality perovskite materials, obtained by vacuum growth, and controlled in-situ with extremely sensitive characterization techniques. The candidate will conduct experiments based on optical
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well as decentralized machine learning algorithms for large-scale clouds with dynamique parameters. -- Conception of machine learning algorithmes for resource allocation -- Numerical experiments -- Drafting research
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different ice sheet models on comparable topographic configurations, in order to identify sources of uncertainty and possible improvements. 2. Contribute to ISMIP7 Antarctica experiments: carry out
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degree in analytical chemistry or environmental sciences with an interest in biogeochemistry. He/she is passionate about environmental issues, rigorous and highly motivated. Experience in analytical