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Internet Exchange (AMS-IX), and the Faculty of Science of the University of Amsterdam. About Research group The CWI Machine Learning research group focuses on how computer programs can learn from and
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of ESA's climate activities. You will have the opportunity to work in cooperation with relevant scientific projects within ESA's CCI programme and other teams at ESA. In addition, you will be encouraged
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: organoids or embryo models, genome-wide approaches (sequencing-based, proteomics), transcriptomics, single-cell analysis and/or computational embryology. You have a strong science-driven curiosity and
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candidate with a doctorate in computer science, mathematics, data science, or related field with relevant experience. A strong interest in clinical applications is essential. Candidates who expect to obtain
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English, both spoken and written. Additional experience that would be considered a plus: - some experience in programming and the use of computer algebra in algebraic geometry; - experience with
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. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental
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“form adaptive multilayer”, matching industrial demands with scientific know-how, and thereby improving future lithographic applications! Position Overview: You will create an adaptive multilayer that is
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with other scientific fields including, among others, atmosphere/ocean sciences, computational life sciences, mathematical biology, mathematical economics, medical and seismic imaging, theoretical
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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seminars, workshops, and conferences of the programme. Selection Criteria For a post-doctoral researcher: a PhD in comparative political economy, political science, economics, sociology, public