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programme in 2008. Through the CCI, ESA is developing a suite of global data records of key components of the climate system, known as essential climate variables (ECVs). The climate-quality datasets produced
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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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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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Development programme. Your qualities You have a PhD and proven interest in virology, molecular biology, and biochemistry. You have hands-on and proven experience in molecular biology, biochemistry, and/or
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for green hydrogen deployment, and support broader modelling efforts across the GroenvermogenNL programme. The post-doc will be appointed at the Department of Economics of the Leiden Law School, but
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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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computing; Experience with process-based modeling or willingness to learn; Hands-on experience in conducting controlled experiments, especially in soil or microbial systems Demonstrate excellent level of
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Location ESTEC, Noordwijk, Netherlands Our team and mission Internal Research Fellow (PostDoc) in Digital Twin Spacecraft and Simulation in the Modelling and Simulation Excellence Section, Future
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is