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equivalent) in Computer Science, Data Science, Artificial Intelligence, Computational Social Science, or a closely related discipline. The ideal candidate has a strong interest in algorithms, machine learning
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independently and with a team. You hold a Master's degree in Earth Sciences, Environmental Science, Marine Sciences or a related discipline by the time the position starts. Furthermore, you have: experience
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) Proven affinity with the application of statistical methods for data analysis of spatial and temporal datasets in the domain of agronomy, ecology and environmental sciences Proven affinity with modeling
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to data analysis and science communication. PhD students at BirdEyes will gain expertise in cutting-edge ecological monitoring techniques, big data analysis, and creative science communication. The centre
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economics, environmental economics, regulatory economics. Knowledge of European climate and energy policy and societal debate on decarbonization of industry and energy sector. Experience working in at least
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the Faculty of Spatial Sciences at the University of Groningen, in the Cultural Geography unit. Supervisors are Prof. Martijn van der Heide (nature-inclusive rural development and environmental economics) and
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Engineering. Application Application should include Letter of motivation. CV (including contact information for at least two academic references). Transcripts from your bachelor’s and master’s degree. Proof
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is a science and creative hub that utilizes bird-borne tracking technology to generate and analyze vast datasets related to ecological change. By combining data from transmitters, loggers, and other
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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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advent of Christianity. To answer this question, archaeologist Anna Moles investigates human skeletal remains, combining methods common in the natural sciences with archaeological and historical data. She