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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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agreed upon with the relevant union. The period of employment is 3 years. The preferred starting date is 1 November 2025 (or according to mutual agreement). You can read more about career paths at DTU here
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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the relevant union. The period of employment is 3 years. Starting date is 1 November 2025 (or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU
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Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. The project should be started in November 2025 - or as soon as possible
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with the relevant union. The period of employment is 3 years. Starting date is as early as possible, according to mutual agreement. You can read more about career paths at DTU here . Further information
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), if you do not have an education equivalent to a relevant Danish master´s degree – but you have an education equivalent to a Danish bachelors´s degree. Getting into a position on the regular PhD programme
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. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from
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and has diversity as a core value. Therefore, everyone, regardless of personal background and orientation, is encouraged to apply for the position. Do you have any questions? If you have any questions
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Job Description Are you driven by the idea of creating a more sustainable future through groundbreaking research? Do you want to work in a collaborative environment where your contributions can