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Field
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quantitative background; experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; demonstrated expertise in the analysis of large and complex datasets; excellent written
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing new image analysis and machine learning methods
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: Background in signal processing, network science, or statistical physics applied to time series and/or complex systems analysis. Familiarity with PNT data, spatiotemporal datasets, or related domains
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expressly expected in order to anchor the analysis in a broad and documented perspective of the literary transfigurations of mechanisms of domination and trauma. Assigned to the THALIM laboratory and also
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researcher will be responsible for performing statistical analysis of complex datasets derived from large-scale biological images, as well as proteomic and genomic data. The postdoctoral researcher will
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3d colloidal model system. Background information: https://paddyroyall.github.io/padrus/Work_amoeba.html Publications of interest : https://paddyroyall.github.io/padrus/Publications.html Systems in
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and data analysis. The successful candidate will also be expected to contribute to the formulation and submission of research publications and research proposals as well as help manage and direct
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of the project will be to develop new hyperpolarized NMR methodologies applied to the study of complex materials such as heterogeneous catalysts or drugs. This will involve implementing i) new strategies
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- Experience in computer programming, if possible object-oriented (ideally C++) - Experience in modeling complex chemical systems, and/or in mathematical/computational analysis of multistable dynamical systems
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, which aim to answer challenging industrial questions, from complex chemical and biochemical reactions to scale-up and validation of process engineering. CBS projects aim at an in-depth understanding