91 computer-science-programming-languages-"Prof"-"Embry-Riddle-Aeronautical-University" positions in Netherlands
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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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, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
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your motivation letter. This project is part of the 10-year EMBRACER research programme funded by the Dutch Research Council (NWO). At EMBRACER, we work at the very frontiers of knowledge on climate
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contact: Prof. Abe de Jong, Vice-chair of Department EEF, abe.de.jong@rug.nl (please do not use the email addresses above for applications) Additional information Department EEF Research Programme
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achieved consensus. The PRELIFE consortium brings together leading researchers from a wide spectrum of disciplines—including astronomy, biology, chemistry, computer science, earth and planetary sciences
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scientific environment that sets high standards for its students and staff. The research carried out at the Faculty of Science is diverse, ranging from computer science, mathematics, astronomy, physics
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similar field; expertise in programming skills and statistical data analyses, including machine learning; affinity with environmental exposure modelling and high-performance computing; strong reporting and
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the next three years is to be expected. A university PhD training programme is part of the agreement and the candidate will be enrolled in the Graduate School of Science and Engineering. Application Do you
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at Utrecht University. Your qualities You are a motivated team player, have experience in modelling using programming language(s), and have completed your MSc degree in Earth Sciences, Environmental Science
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an enthusiastic and collaborative colleague and meet several or all of the following criteria: a Master's degree in Data Science, (Computational) Epidemiology, (Medical) Statistics, or a similar field; a strong