34 condition-monitoring-machine-learning-"Multiple" PhD positions at Leibniz in Germany
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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screening (Ulrike Haug), prevention and implementation science (Hajo Zeeb, Daniela Fuhr), biostatistics, machine learning, data science and research data management, and causal inference methods (Iris Pigeot
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skills work together, in order to learn from one another and generate new knowledge and new methods to create a better quality of life in our world. DWI offers you a wide range of possibilities to develop
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plant genetic mechanisms that coordinate mycorrhizal interactions with plant P and water status, root system development, and soil microbial communities. Using maize and rice as models, we will: Determine
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of the 15 months of data collection. An amazing opportunity to learn about the lives of wild Guinea baboons in their natural environment. An opportunity to gain new skills and gain proficiency in diverse
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is beneficial We encourage you to apply even if you do not meet every requirement. We value diverse perspectives and are committed to finding the best candidate, recognizing that growth and learning
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of Alexander Sczyrba in Bielefeld, Germany The following conditions of international mobility of researchers must be fulfilled: Researchers must not have resided or carried out their main activity (work, studies
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(Mariagrazia di Luca), two months at Robert Koch Institute, Berlin, Germany (Stephan Fuchs) The following conditions of international mobility of researchers must be fulfilled: Researchers must not have resided
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the Hallett-Mossop process). In the previous DFG project - in contrast to earlier studies - no efficient secondary ice formation was observed under near-atmospheric conditions within the parameter range
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, Microbiology, Evolutionary Biology or equivalent Practical experience with bacterial cultivation techniques (familiarity of BSL-2 biosafety protocols) Proficient in working under sterile conditions Ideally