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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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objectives will also be prepared in French or English. Previous experience with Drosophila and confocal imaging would be an asset. Applicants are kindly asked to provide a complete CV along with the contact
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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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(Technology for engagement and personalized support of people with aphasia in rehabilitation). The candidate will join a research team with extensive experience in ergonomics and HCI, particularly in the design
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analogues, and participate in bioconjugation experiments, as well as in the purification and characterization (mass spectrometry) of the obtained analogues and conjugates. The recruited candidate is expected
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for experiments below the MHz to detect the current fluctuations. We propose for the internship to use our newly developed ultrasensitive TMR-based (Tunnel Magnetoresistance) magnetic field sensor to detect
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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