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Field
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degree or equivalent in public health, epidemiology, medicine, pharmacy, natural sciences, psychology, social sciences, statistics, economics, sport sciences, law, communication science or other relevant
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simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time
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flight data from operators of the ten-seater, twin-engine helicopter with a maximum take-off weight of up to 4,800 kg, together with statistics on maintenance events, provide the data basis
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candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD positions will be part of a
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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experimental studies with animals Experience in working in the field would be an advantage Advanced statistical and analytical abilities (experience using R is a plus) Excellent command of the English language
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, statistics) interest in natural resources, agriculture or the general food system and related technology a high motivation and the ability to work independently with a strong team orientation excellent spoken
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or microfluidics and ideally in quantitative data analysis. As a theoretical candidate, you have knowledge in quantitative biology, soft matter/complex systems physics or statistical physics. You enjoy working in