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have recently completed (within the past five years) or be close to completing a PhD in a relevant field such as data science, AI, Computer Science, Machine Learning, Earth System Science, Climate etc
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website: https://www.esa.int/ Field(s) of activity/research for the traineeship Robotics, control, computer science, computer vision, machine learning and AI, remote operations, human-robot interaction and
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to improve the fidelity of the radiometric data. • study of straylight characterisation techniques and correction algorithms. • investigation of methods for onboard aberration control including image
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of the preliminary system applications and the technologies already developed; analysing state-of-the-art methodologies and technologies, such as visualisation and data analysis, with a focus on the improvement
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with electrochemical impedance spectroscopy, will result in data exploitable by multiscale models. Any other means of improving these models would also be desirable; support cell qualification
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coming from past and/or current research/activities Ability to gather and share relevant information General interest in space and space research Behavioural competencies Result Orientation Operational
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share relevant information General interest in space and space research Behavioural competencies Result Orientation Operational Efficiency Fostering Cooperation Relationship Management Continuous
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ESA with an interest in the topic, such as contamination and materials engineers, optical performance engineers and project study scientists. Further background information can also be found in
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completing a PhD in a relevant field such as data science, AI, Computer Science, machine Learning, Earth System Science, Climate etc.. with the subject of your thesis being relevant to the description
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Education You should have recently completed (within the past five years) or be close to completing a PhD in a relevant field such as data science, AI, Computer Science, Machine Learning, Earth System Science