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sometimes struggle to effectively sustain patients' learning throughout their rehabilitation journey and may not adapt to the evolution of their abilities. Rehabilitation is a complex process that requires
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, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders
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by exploiting foundational machine-learning potentials such as MACE, SevenNet, or Orb-V3. The predictions will then be progressively refined and verified by DFT and, ultimately, tested experimentally
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candidate will spend most of their time there, with missions in Strasbourg, at LIVE, for part of the data analysis and valorization. LIVE is an interdisciplinary laboratory that hosts the “Biodiversity and
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biophysics and biomolecule analysis (proteins, oligonucleotides, living cells). International work experience is desirable; experience in Japan would be a plus. Previous experience in research funding
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. - Have skills in image analysis (segmentation, cell tracking, spatio-temporal quantification) and quantitative analysis of biological data. - Familiarity with classical approaches in protein biochemistry
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slices, dissociated cultures), preparation of vectors for the expression of fluorescent markers, fluorescence imaging and cryo-electron microscopy, analysis and formatting of experimental data, manuscript
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large erosion pit during a breach, iii) a flood wave much more powerful than water in terms of transport capacity and destruction of buildings. Analysis of the state of practices does not show a model
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approach, combining quantitative genetics, experimental evolution, and meta-analysis, to explore the potential of sexual selection in females at both micro- and macroevolutionary scales. Using the red flour
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, these CMCs will increase the lifespan of engine parts to increase robustness and facilitate the maintainability of military and civil aircraft. Description of the subject: This thesis project is based on a