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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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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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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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of technology development requirements and work plans for the Agency’s technology programmes; defining, initiating and managing R&D activities covering both long- and short-term needs and addressing AOCS enabling
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) and ESCH-R (Home - ESCH-R Consortium Opens external ), while also having the intellectual freedom to develop your own research lines. Working in a multidisciplinary environment, you will collaborate
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(spoken and written). Preferred qualifications Prior experience with 3D cell culture, organoids, CRISPR-Cas9, or imaging-based phenotyping. Familiarity with transcriptomics or basic computational biology (R
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projects and carries out technological research and development (R&D) in the field of optoelectronic device technologies and applications. In particular, the Optoelectronics Section deals with
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Track record of customer relationship development and management Experience in implementing and driving R&D and/or industrial activities Exposure to standardisation activities Behavioural competencies
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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
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communication skills in English. Ability to work independently and collaboratively within an interdisciplinary research environment. Desirable Experience with statistical software such as Stata, R, SPSS, etc