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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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are being developed that provide AI-supported tools to identify suitable sources and optimize utilization decisions throughout the product life cycle. Various machine learning approaches are to be used
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infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data
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, 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, statistics, machine learning) a
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opportunities to develop professional knowledge and personal skills DO IT- PhD initiative and Welcome Office A family office to support family and career as well as childcare offers Interesting additional public
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opportunities to develop professional knowledge and personal skills DO IT- PhD initiative and Welcome Office A family office to support family and career as well as childcare offers Interesting additional public
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Parasitology, Biophysics to Social and Computational Sciences and Health Economics. Please check our Webpage (link below) for further information about the PhD projects and required backgrounds. Our 9 projects
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-time basis for a duration of up to 3 years, with the possibility of part-time work. The position includes the opportunity to pursue a doctorate (PhD) at TU Clausthal. With these positions, we invite YOU
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degree (M.Sc.) in mechanical engineering, materials science or physics, are curious, self-motivated, and eager to engage in scientific work, and would like to pursue a PhD to further qualify yourself
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) • The successful candidate will have the opportunity to work towards a PhD Required qualifications: • Completed university degree (M.Sc. or comparable) in biology or a related field • Solid knowledge of molecular