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languages (eg, R, Python), implement statistical associative models (eg, GLMM), as well as experienced in simulation development (eg, multi-agent based models). You will also work with stakeholder engagement
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the behaviour of fishes, particularly in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab, Python) are expected as is experience in planning and executing fieldwork. Experience
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disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions
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, race, religion or ethnic background are encouraged to apply. DTU Compute is an internationally unique academic environment spanning the science disciplines: mathematics, statistics and computer
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mathematics, statistics and computer science. At the same time, we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role
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competitive national and international research applications Experience in planning and conducting field-work Experience in advanced statistical analysis of results Experience with analyzing drone images and
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teaching experience Skills within statistical analysis Communication skills both in oral and written English Flexibility and self-motivation are desired skills at DTU We expect you to be a team player and
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, including Python. Stays up to date with research in the community. Has an MSc in a relevant field, such as computer science, mathematics, or statistics. Enjoys working both individually and in teams. Is
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brilliant minds in our journey. See our publications and projects here . DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics
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-cultural experimental and ethnographic data, including data pooling, version control, and statistical modelling of individual-level quantitative data Drafting reports for publication Theory development and