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predictions and better scientific understanding. While predicting the drug metabolism by CYP450 and other enzymes has significant applications during drug development, it still poses significant challenges
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preparation and testing or powder mixtures, and then to devise predictive models (possible using machine learning approaches) for the estimation of mixture properties from pure component propeties. The PhD
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biogeography. A key focus lies in comparing past and present natural processes for predicting environmental changes. Start of studies in the winter semester (October) Opening of applications and publication
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experimental testing of the predictions from the computational model of religious decision-making in cooperation with the Principal Investigator, Dr. Martin Lang and another postdoctoral researcher with skills
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Bias in Amino-Acid Substitution Patterns Prediction, Modeling, and Refinement of Nucleic Acid Structures Profile of the graduate The graduate understands key areas of informatics, such as algorithms and
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the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the