718 computer-science-intern "https:" "https:" "https:" "https:" "Babes Bolyai University" positions in Netherlands
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; establishing and maintaining effective coordination across ESA, notably within the ERS-EO Programme, with ESA internal services and with the ESA security office, as well as with relevant external stakeholders
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the relevant engineering domains. Your main tasks and responsibilities will include: leading the backend payload requirements and specifications, technical budgets, design drivers, internal and external payload
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this sound like you? You have a Bachelor’s or Master’s degree in AI, robotics, computer science, electrical engineering or comparable. You have strong machine learning and programming skills with a background
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attention to the city of Rotterdam. The teaching responsibilities include joining the collaborative team of the English-taught, international master programme Social Inequalities and Change, one
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PhD-position: The (Mis)Perception of Social Norms in Dynamic Social Networks Faculty: Faculty of Social and Behavioural Sciences Department: Social Sciences Hours per week: 36 to 40 Application
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with modern machine learning. You will work on extending data-driven models with process-informed constraints and novel data integration strategies. The position is embedded in the Computational
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attention to the city of Rotterdam. The teaching responsibilities include joining the collaborative team of the English-taught, international master programme Social Inequalities and Change, one
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techniques and modelling environments relevant to resilience applications; establishing and maintaining effective coordination across ESA, notably within the ERS-EO programme, with ESA internal services and
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the implementation of EOGS. Location ESRIN, Frascati, Italy Description Downstream and Applications Manager in the ERS-EO Programme (European Resilience from Space – Earth Observation Programme). Reporting to the Head
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for the end-to-end definition, engineering, technology breadboarding and pre-development of innovative optical payload systems for EO future missions. These systems will leverage emerging sensing technologies