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Field
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for research and data analysis purposes (e.g. Python or similar languages), experience with eye-tracking or physiological sensing methods, as well as strong numerical and analytical skills. Competent in general
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reward scheme grants bonuses of numerous values for excellent work We are committed to staff development through the provision of training, continued support, and career progression opportunities You will
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-driven surrogate models for real-time reconstruction and forward simulations. Create numerical algorithms for physics reconstruction using sparse data. Implement assimilation pipelines which integrate
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-specific abilities acquired through training e.g. specific programming languages, numeric and analytical skill Competent in soft skills / general personality traits e.g. information visualization
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, and workforce development, in addition to advanced instrumentation, including recirculating flumes, velocity measurement systems, spectroscopic tools, and numerical modeling platforms, to test new
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theory, numerical models and observations to understand various aspects of land climate. Basic Qualifications Candidates should have a recent Ph.D. in atmospheric science, climate science or a related
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post will be offered on a fixed-term contract for 4 years. On a typical day, you will be engaged in your core research activities (approximately 70% of your time), of developing and running numerical
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is expected is have a strong numeric and analytical background. Competent in information visualization. A working knowledge of Adobe Illustrator is a strong advantage. Ability to work independently and
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based on numerous factors, including opportunity, location, education, and experience. If you are interviewed, you can inquire about the exact stipend rate at that time and if selected, your appointment
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on numerous factors, including opportunity, location, education, and experience. If you are interviewed, you can inquire about the exact stipend rate at that time and if selected, your appointment offer will