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econometric models. 2. Analytical skills: • Ability to analyze and interpret complex data, identify trends and formulate recommendations based on analysis. 3. Communication skills: • Excellent written and
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role We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
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analysis, Rresource allocation, growth and welfare evaluation, Technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and internationally peer-reviewed
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qualitative data capture and analysis Ability to work independently and manage tasks with minimal supervision Strong organisational and analytical skills Excellent communication and collaboration skills
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, environmental economics, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics
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-good university degree in economics - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) - a high motivation and the
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for a motivated researcher who wants to solve actual spatial, environmental, and socio-economic problems using modern data, analytical tools, and computing methods. We expect an active approach, a
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of infection using metagenomics, advanced statistical models, and analytical biochemistry. One position to work on an NIH-funded project is available. The project is focused on determining the impact of
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econometric models. 2. Analytical skills: • Ability to analyze and interpret complex data, identify trends and formulate recommendations based on analysis. 3. Communication skills: • Excellent written and
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courses, two Master programs, and a PhD-program and pursues high quality research within our respective fields of research, a major part of which is externally funded. More information about our research