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and/or Python. Experience in, and aptitude for, complex statistical modelling (inc. mixed effects regression models and/or Bayesian statistics). Excellent written and spoken English. Desirable (traits
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the overall structure of the cosmic web are the various versions of the scale-space MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical
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MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical inventory, a major incentive for the project is the application and
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to microeconomics (individual choice, aggregate supply, and demand, equilibrium), econometrics (endogenous variables, choice modeling), statistics and probability, Bayesian modelling, machine learning, and deep
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Accompaniment Programme). With the objective of ensuring successful ramp-up and continuity of Ariane 6 exploitation, you will manage, as part of the Ariane Integrated Programme Team, the Ariane 6 MQO. Your duties
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algorithms. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship The main objective of the proposed Research Fellowship consists in carrying out
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difficult to analyze and compare them efficiently. As part of the SMT, the primary objectives of the internship will be to: Contribute to the implementation of automatic data extraction and harmonization
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learning for exploration Robotics and human factors Conceptual illustration/design 2. Objectives As a member of the team, you will be asked to work on a project relevant to the topical areas aforementioned
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and extended to gradually refine the aero-propulsive and thermo-mechanical loads and improve the overall vehicle performance accordingly. The following objectives are envisaged: Improve the aero
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assignment of resources; Establishing annual objectives and managing/coordinating on a day-to-day basis specialised technical support in the domains of mechanical, thermal and propulsion subsystems, in full