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candidate will contribute to the theoretical and physical chemistry aspects of the project, with particular emphasis on the analysis and modelling of non-equilibrium chemical systems and reaction–diffusion
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Data Scientist. We now invite applications for the captioned post. Duties and Responsibilities Manage, process, and analyse complex real-world healthcare datasets to generate insights and evidence
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Information Eligibility criteria The candidate has to hold a PhD degree in the field of Chemistry and to have BSc and MSc diploma in Chemistry Selection process analysis of files (CV, diplomas), Interview https
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). Knowledge of complex network modelling, omics data analysis or computational simulation. Research FieldOther Internal Application form(s) needed Perfil. .pdf English (606.79 KB - PDF) Download Additional
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against falling from heights in working environments. This includes modeling, simulation and design of passive self-locking mechanisms and joints, FEM analysis on mechanical components, CFD analysis of flow
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key responsibilities will be to: work on an ARC DP project aiming to develop of hybrid asymptotic methods based on exponential asymptotics and computational complex analysis apply these methods
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, simplicial complexes, manifold theory, fiber bundles, curvature). Familiarity with topological data analysis—persistent homology, filtrations, stability theorems—is particularly valued. Extensive experience
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with statistical analysis of complex datasets; experience in R preferred. Interest in or experience with metabolomics, dietary biomarkers, or cardiometabolic research preferred. Experience with community
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analysis), divided into 10 research groups and 3 technical platforms. As part of the research project Understanding by Raman Optical Activity of Solvent Structuration - CAORSS , funded by the National
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
by infrared and ultraviolet spectrometers. The incorporation of simple analytical or more complex 1D/3D numerical models is highly encouraged to aid in proposed data analysis and interpretation. Field