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programming tools (e.g., Python, R, or MATLAB), ideally with experience working with spatiotemporally explicit datasets in raster or NetCDF formats. Familiarity with optimisation techniques such as mixed
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chemistry) laboratory; statistical skills for proper data treatment ; experience with programming (R or Python) for data handling and visualisation; strong analytical skills; excellent communication skills
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performing these tasks, you will interact closely with representatives of industry and other space agencies. Technical competencies Knowledge of ESA technology programmes and the organisation of R&D activities
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discipline; Demonstrate proven affinity with the application of statistical methods for data analysis of large datasets in the domain of agronomy and environmental sciences using R language for statistical
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Location ESTEC, Noordwijk, Netherlands Our team and mission The Data Handling Section provides functional support to ESA projects and carries out technological research and development (R&D
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one programming language (e.g., Python, Matlab, Stata, Excel, R). Fluency in English, both written and spoken. Familiarity with the policy context in The Netherlands, as well as the ability to write and
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functional support to ESA projects and carries out technological research and development (R&D) in the field of integrated circuits, relating, for example, to ASICs, ASSPs, FPGAs, microprocessors and
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: Research question and methodology Sources Two possible case studies (ca. 150 words each) A curriculum vitae Copies of (R)MA diploma and list of grades. Copy of (R)MA thesis, or another writing sample (e.g
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studies (ca. 150 words each) A curriculum vitae Copies of (R)MA diploma and list of grades. Copy of (R)MA thesis, or another writing sample (e.g. an article, book chapter or other academic text that you
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proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including