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. - Process, analyze and interpret mass spectrometry data and complementary analytical data. - Assess the performance and limitations of the different approaches and propose methodological improvements
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. The candidate must have earned a PhD (or equivalent) in Chemical Sciences or Molecular Chemistry with a chemical synthesis-oriented and spectroscopy background. He/she should be able to work with independence in
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The work will be based at LMD in Jussieu, in the EMC3 team (Etude et Modélisation du climat et du changement climatique). It will take place as part of the MAESTRO ERC project. It will involve collaborations
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team at IETR, CNRS, Rennes, France. Our research focuses on developing passive implantable biosensors that use backscattering to wirelessly transmit sensing data. The researcher will work in a
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will work on the scientific themes of the P2S2 project
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, and skills in C, Java or Python/SageMath are a plus. Good writing and communication skills are requested, together with the ability to work independently as well as in a team. A good English level is
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unit under the supervision of the CNRS and the AMU, which explores the field of developmental biology and associated pathologies. The work will be carried out within the 'Computational Biology' team led
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2030), dedicated to the development of high-performance cryogenic technologies for quantum technologies, and more specifically to ultra-low-temperature thermometry in the millikelvin range
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missions operated by LATMOS. The postdoc will employ deep learning approaches using satellite data and ground stations. -Understanding the infrared data from the IASI mission and identifying the channels
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particular, the postdoctoral fellow will work on three complementary areas: - Development and optimization of imaging analysis protocols Improvement of hyperspectral and multispectral photoluminescence (HMSPL