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unconventional therapeutic strategies, ranging from antibacterial to anticancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering
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, and 3) a disregard for the complex interactions between risk factors. Mathematical theories such as the Dragon King claim that extreme events may be generated by mechanisms such as positive feedback
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unconventional therapeutic strategies, ranging from antibacterial to anticancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling
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group focus on algorithms and mathematical proofs, some on system design and building. As a new member of the group, you are supposed to contribute to research activities in the group and gradually build
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, and 3) a disregard for the complex interactions between risk factors. Mathematical theories such as the Dragon King claim that extreme events may be generated by mechanisms such as positive feedback
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for motivated students with physical, mathematical or programming skills for numerical simulation of reactive transport processes, atomistic simulations, or machine learning Knowledge of cement chemistry
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of mathematics, computer science and evolutionary biology. We develop phylogenetic and phylodynamic methods to understand evolutionary, ecological, epidemiological and developmental processes on different scales
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strong background in computational science, computational biology or applied mathematics to extend a recently developed C++-based cell-based tissue simulation framework to represent further biophysical
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Functional Theory (DFT), and coarse-grain DFT to run large-scale atomic simulations of the real structure of disordered solids. Your profile Project I MSc in Physics, Chemistry, Materials Science, Mathematics