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Partnership Your qualifications: PhD in environmental / agricultural science, (rural) sociology, human geography, political sciences, or related subjects Knowledge of transdisciplinary approaches and methods in
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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Materials explores materials for lithium-ion batteries by going beyond conventional graphite anodes and present-day cathode materials. To leverage on our scientific profile exploring digital methods
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chronometabolic research Analysis and quantification of circadian rhythms by rhythm analysis software (Cosinor, JTC cycle, R etc.) Rhythm analysis in human 24-hour time series data and omics data Writing
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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methods to estimate the uncertainty in the daily predictions What do we expect from you? We seek a scientifically curious researcher who is passionate about understanding the environment. You should hold a
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verbal interaction. Primarily, qualitative research methods will be used, supplemented by quantitative methods. We are looking for a researcher to investigate multimodal interaction, particularly in
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passionate about understanding the environment. You should hold a master's degree (or equivalent diploma) and a PhD in meteorology, oceanography, or a related natural or geoscientific discipline with
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and apply cutting-edge methods in artificial intelligence (AI) to address urgent societal and environmental challenges such as improving food security, promoting animal welfare, protecting biodiversity
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team and lead the development and application of machine learning methods to large-scale genomic data generated at IPK-Gatersleben, with a focus on the impact of genetic variation on gene regulation