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-criteria, defining their formalization as fuzzy subsets, and characterizing their uncertainty; Integrating Machine Learning algorithms to better account for low-level sensor data (precipitation, wind-driven
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/S0022112006003429 [2] A. Cahuzac, et al. “Smoothing algorithms for mean-flow extraction in large-eddy simulation of complex turbulent flows”, Physics of Fluids 1 December 2010; 22 (12): 125104, doi:10.1063/1.3490063
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molecular targets critical for developing new therapies for rare diseases, based on genetic data and biological system simulations. -Computational Drug Repurposing: Developing novel algorithms and databases
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represented in our workforce · Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions · Gender-friendly environment with multiple
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)—for multiple vehicle types (light vehicles, vans, buses, coaches, and trucks). Users can customize data to reflect specific use cases, supporting more tailored and informed assessments. While VMF supports unit
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data Proficiency in advanced statistical analysis methods: structural equation modeling (SEM), robust Poisson regressions Proficiency in handling non-response: weighting and multiple imputation
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interventions, support policy making and optimize control strategies. Our approach is highly multidisciplinary, looking at infectious diseases through multiple perspectives, multiple scales and multiple data
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to detail and accuracy Ability to accomplish multiple tasks within deadlines Excellent oral and written skills in English. Additional good knowledge of one or more of the following languages will be
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, bioinformatics, etc.), the laboratory offers a supportive and collaborative environment, with multiple opportunities for personal growth.If you wish to apply and submit a joint project, please send an email to
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Technology (SIPT) Unit. At the SIPT Unit, we are committed to advancing the frontiers of science and technology through the development of innovative instruments and methodologies across multiple domains