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and (scientific) writing skills. Due to the international character of our research, good command of spoken and written English is essential. We highly encourage applicants from all members of our
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across tasks; Structured and compositional learning; Vision-language and multimodal models; Learning with limited supervision; Generalisation beyond pretraining distributions The precise research agenda
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for international employees (if applicable). A pension with ABP; the most sustainable Dutch pension fund. Training in personal development, career development, leadership, education, and research or a language course
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research Education You should have recently completed (within the past five years), or be close to completion of a PhD in applied mathematics, computational science, physics, engineering or a closely related
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space research Behavioural competencies Education You should have recently completed (within the past five years), or be close to completion of a PhD in bio-inspired modelling, mechanical or aerospace
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excellent oral and written communication skills in Dutch and English; fluency in Dutch is required because of the extensive collaboration with Dutch infrastructure operators and government stakeholders you
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atmospheric datasets using programming languages such as Python, MATLAB or R. Experience with atmospheric data processing, quality assurance and statistical analysis. A strong publication record of peer
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with Dr. Elena Raponi (the Natural Computing Group) and dr. Saber Salehkaleybar (the Explanatory Data Analysis Group) at LIACS; contribute to the teaching activities of the STAR Research Group and
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combine research in Remote Sensing and AI with teaching and student supervision? Have you recently earned a PhD in Remote Sensing, or are you about to finish your PhD, and feel inspired to share your
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computing language. Experience with Git and collaborative scientific software development. Excellent analytical and problem-solving skills, and excellent written and spoken English. Ability to work