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handling non-model microorganisms such as Vibrio sp., Psuedomonas sp., Cupravidus sp. Python experience, especially as applied to programming laboratory robots You need have a MSc in a relevant field (e.g
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questions in large populations. The translational pharmacology group aims to understand variability in drug toxicity, drug metabolism and drug transport. Examples of this include cell-based models such as
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deep learning models, testing and optimizing the models documenting all performed tasks in detail, visualizing the model results, and writing technical reports investigating related software and
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structure and function. This includes the integration of experimental data and the rigorous validation of computational models to ensure reliable and interpretable outcomes. Collaborate closely with internal
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formulating policies and regulations. Human behaviour is embedded in our research on transport systems and mobility prediction models. Our research creates a foundation for policy support related to a variety
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experienced Policy and Program Manager to lead and support international development initiatives with a strong focus on global health, genomics and antimicrobial resistance (AMR). Our new colleague will manage
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model-based systems engineering, with emphasis on developing innovative solutions for manufacturing systems. You will be expected to build and maintain a strong research program, including securing
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Digitalization, ideally with a strong technical background (e.g., MSc in Computer Science, Data Science, or related fields). The research areas of interest include: Business Intelligence and Data Science
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-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis
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different levels. Including tests/exams, course/study programme management as well as contributions to the development of teaching activities and teaching material. Emphasis is placed on the extent, to which