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will participate in multiple parallel projects, including performing DFT calculations on heterogeneously catalyzed reactions, kinetic modelling of catalyzed reactions in the gas- and/or liquid phase
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understand how genetic variation shapes biological function. At the heart of our research is MAGESTIC ( https://doi.org/10.1038/nbt.4137 ), a CRISPR-based technology that enables precise engineering of
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technologies to understand how genetic variation shapes biological function. At the heart of our research is MAGESTIC ( https://doi.org/10.1038/nbt.4137 ), a CRISPR-based technology that enables precise
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recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Premila’s research group (https://sites.google.com/view/premila
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parallel, methods for targeted metabolomics/lipidomics need to be developed and validated for groups of relevant metabolites for specific clinical conditions, to enable discovery of innovative
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products and the bioeconomy in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python
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Researcher to support research and development within the SEDAN group ( https://www.uni.lu/snt-en/research-groups/sedan ). The ideal candidate will have expertise or a strong interest in artificial
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element software (preferably ABAQUS) and you have programming skills (preferably in Matlab, Python or C++); You are a person showing the necessary reliability, autonomy and initiative; Your former
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, clinical data, epidemiological data, or other real-world health datasets; strong programming skills, preferably in Python, and practical experience with relevant data-analysis and machine-learning
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group led by Dr. Marvin Meyers in the Department of Chemistry (https://www.slu.edu/science-and-engineering/academics/chemistry/faculty/marvin-meyers.php). This work involves the organic synthesis of new