184 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" positions in Netherlands
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electrochemical and redox flow battery systems. The PhD candidate is part of a larger project, called “Redox Blend” with other universities and companies, within the National Growth Fund program Circular Batteries
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strong programming skills, experience with time-series data, and an interest in biomedical signals and open-source research software. Information and application Are you interested in this position? Please
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) and development cooperation principles Detailed understanding of the Copernicus Space Segment and programme Knowledge of the environmental, institutional and socioeconomic conditions in the South Asia
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the Galileo Ground Segment Management Office, Galileo and EGNOS Programme Department, Directorate of Navigation. Your primary focus will be on the development, integration and follow-up of the Galileo ground
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large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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(Dutch tax agency), and with our Dual Career Programme we will also help your partner find the right job for them. Employer Erasmus University Rotterdam (EUR) is an internationally oriented university
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for a postdoctoral position within a funded research programme investigating the neuroanatomy of speech production and speech deficits in Parkinson's disease. The project combines advanced diffusion MRI
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eligible for the 30%-ruling if you meet the requirements of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme we will also help your partner find the right job for them. Employer
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of all Directorate-level activities and priorities; Plan and coordinate the Director’s agenda, commitments and missions, ensuring alignment with strategic priorities and optimal time management; Maintain
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and understanding of complex biological systems and biodiversity. You will get the opportunity to learn about both simple and complex biological models, computer programming, data visualisation, and