135 programming-languages-"the"-"CNRS"-"Washington-University-in-St" PhD positions in Netherlands
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in project areas in Lower Saxony, Germany, and Fryslân, Netherlands, and is developing a Strategic Conservation Plan for meadow bird habitats in Western Europe and West Africa, including habitat
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the GRE; applicants with a Q score below 160 will not be considered. Excellent command of English (IELTS/TOEFL). Students whose native language is not English are therefore required to demonstrate English
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areas in Lower Saxony, Germany, and Fryslân, Netherlands, and is developing a Strategic Conservation Plan for meadow bird habitats in Western Europe and West Africa, including habitat restoration plans
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-footprint), emission models (e.g. IPCC, EMEP/EEA) and tools (e.g. Simapro); experience in programming languages (e.g. Python) to develop methods, models and tools is considered a strong plus. excellent spoken
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diverse range of nationalities, and an active visitor program which attracts the best string theorists from all over the world. Our group's faculty members include: Jay Armas, Daniel Baumann, Jan de Boer
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with either cryo-EM or the biochemical characterization of porins or electrophysiological experiments are desirable Proficient in English with excellent oral and written communication skills The ability
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courses in WUR’s teaching programs. Organisation of, and participating in, events and feedback sessions with the foundation Managing Public Space You will work here The research is embedded within two
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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
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one programming language (e.g., Python, Matlab, Stata, Excel, R). Fluency in English, both written and spoken. Familiarity with the policy context in The Netherlands, as well as the ability to write and
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chemical reaction networks with robotic systems and analytical science. You will also learn how to programme robotic systems and how to implement aspects of deep learning and neural networks for reservoir