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Field
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Information Eligibility criteria The applicant should have a PhD degree (or equivalent) in Computer Science or Mathematics and good knowledge in symmetric key cryptology. Good programming skills are required
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engineering or cell–matrix interactions. Knowledge of cell culture and cell biology. Good understanding of biological imaging techniques and quantitative data analysis. Technical Skills Experience in the design
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computational models of decision-making, or in multivariate analyses of neural data (neural decoding), would be an advantage. A track record of publications in peer-reviewed journals, good communication skills in
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on photoredox catalysis for the functionalization of alkanes or on a similar subject. • You are rigorous and autonomous in your work • You demonstrate good communication skills • You are
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publication record in peer reviewed literature and experience presenting research results to a large audience. - Experience in carrying out independent research. - Proficient verbal and written communication
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acquired in situ during UXO disposal campaigns. This multidisciplinary project gathers experts in underwater acoustics, seismology, geology, and HPC modeling, from 3 French partners, namely Quiet-Oceans (PI
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; - strong data analysis and interpretation skills; - the ability to work effectively in a multidisciplinary team environment; - good scientific communication skills; - strong scientific writing skills in
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physicsYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD in physics, magnonics, or a related field. • Good written and spoken English communication skills. • Experience in
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models, convective theories and the analysis of observations - Good knowledge of the state of the art in cloud feedbacks and cloud-climate interactions - Skills in the writing of scientific articles and in
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stimulating and highly collaborative environment, alongside experts from an ERC-funded project in wireless bioelectronics. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6164-SOPLO-002/Default.aspx