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a talented engineer with a Master's degree and has the following traits: 1. A Master’s degree in Robotics, Mechatronics, Mechanical Engineering, or a closely related field, with hands-on experience
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generated for natural selection to act on. In this joint PhD project between the University of Groningen (promotors Prof. Martijn Egas and Prof. Rampal Etienne) and Utrecht University (co-promotor Dr. Bram
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, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes following courses/workshops as well as training on the job in assisting
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, the Community Earth System Model (CESM). Stratospheric Aerosol Injection (SAI) is a controversial, hitherto hypothetical method to cool the earth by injecting a thin reflective cloud layer into the higher
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. The requirements to applicants are: You have: A completed master’s degree in a field related to the topic the PhD project (e.g. environmental science, agricultural science, ecology or an adjacent field
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motivation to gain experience in) quantitative methods and statistical analysis; excellent analytical proficiency and conceptual understanding; strong communication, presentation, collaboration, networking and
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research. Good organizational and communication skills, while being an accurate and independent worker. Strong written and spoken English proficiency to communicate research ideas effectively, and preferably
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to coordinate and conduct asset management and maintenance activities across infrastructure networks in the Netherlands. Together with our research partners from Next Generation Infrastructure network, the PhD
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, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes following courses/workshops as well as training on the job in assisting
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. You already have good background knowledge on atmospheric composition and greenhouse gas cycles and experience with isotope measurements. Next to this you find yourself in one or multiple