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strategies. It specifically aims to develop, explore, and evaluate new statistical analysis and diagnostic methods using different data sources to improve estimates of population size, temporal trends in
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experimental techniques and/or data analysis Qualifications: • Ph.D. in Molecular Biology or Parasitology • Strong background in cell cycle biology and/or parasitology • Excellent problem-solving skills and
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physics, engineering or related fields. Solid background in aerodynamics, vortex dynamics and possibly two-phase flows. Experience in theoretical stability analysis and use of asymptotic methods. Knowledge
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to experimental design, modelling of temporal encoding schemes, and data analysis, within a highly interdisciplinary environment combining optics, photophysics, signal processing and biology. The person will
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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
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• Evaluation of catalytic performance and mechanistic studies • Analysis, processing, and interpretation of experimental data • Scientific dissemination of results: reports, publications, and presentations
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diffraction and pair distribution function analysis, infrared spectroscopy, and µ-Raman spectroscopy. Chemical mapping and phase speciation will be evaluated by fluorescence and X-ray absorption spectroscopy
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
candidate must demonstrate proven skills in digital development (C++, Fortran, Matlab, Python, or equivalent) and be proficient in the Linux environment. Additional knowledge in numerical analysis, continuous
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for portability layers such as Kokkos, and those of WP5 and WP6 around the profiling and analysis of performance and energy consumption. This post-doc will be carried within the APO (Parallel Algorithms and