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(UAR 3266) at IN2P3 and will work in the Fission and Reactions (FIRE) group, made up of 10 people (researchers, postdocs, doctoral students) within the Physics Division, which also comprises 5 other
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evaluation of algorithms for: perception in robotics; sensor based control and navigation ; interactive mobile manipulation; multi-sensor data modelling and fusion. This job offer takes place within
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to unravel the atmospheric importance of this interfacial chemistry by means of (i) laboratory-based investigations, (ii) field observations and (iii) modelling. These activities will take place in the frame
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thermodynamics - Modeling of experiments and calculation of theoretical maximum efficiencies - Writing of reports and scientific articles Secondary tasks: - Presentations at international scientific conferences
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The candidate will be required to carry out the following activities: -Development of analytical and theoretical models applied to wing profiles in free or forced motion, -Constrained optimisation of trajectories
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and analyzed. The results will inform the development of new models that describe how seafloor spreading operates on short time scales. ⁃ Perform statistical analyses (assessing distributions
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. -Strong expertise in genomic approaches (Cut&Tag, Cut&Run, ChIP-seq, Hi-C, or equivalent techniques) is essential. -Prior experience with the C. elegans model or oocyte manipulation. -Skills in
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The postdoctoral fellow will participate in the PostGenAI@Paris AI Cluster (ANR) project at Sorbonne University, and more specifically in the "AI-Augmented Multiscale Modeling for Energy Storage" sub-project, whose
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sample preparation, electrochemistry, or quantum modelling (DFT) would be an asset. The recruited researcher is expected to demonstrate a strong ability to work independently (critical thinking, literature
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genetics - Coding eco-evolutionary models - Data analysis - Interpreting and exploiting results - Writing scientific publications - Oral presentations of results - Working as a team and independently Website