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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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following requirements: strong background in geoinformatics, geography, environmental science, data science or related fields in natural science GIS software proficiency (QGIS or ArcGIS) programming
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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, behavioral, experimental and/or applied microeconomics or other related fields, and you have completed your PhD by job start or are close to completing it. You have already proven your relevant knowledge and
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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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Engineering and Bioeconomy (ATB) is a pioneer and a driver of bioeconomy research. We jointly offer the position of a Research Associate / PhD candidate (m/f/d) "The role of livestock slurry as a source of
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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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, holistic strategies, processes, as well as structures for collaboration, governance, and learning are co-designed and implemented jointly with stakeholders, employing innovative methods and tools to foster
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providing the developed methods and standards are strategic goals of the DPZ and the Göttingen Campus. The Candidate ideally fulfills the following requirements: PhD (or equivalent) in data science
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Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex interplay between the human