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professor you will contribute to the research and education of the Laboratory of Systems and Synthetic Biology (SSB). You will set up and maintain a research line on the development of machine learning
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structure bioinformatics and machine learning, who is also not afraid to participate in wet-lab experiments to generate the best possible training datasets. The human gut microbiome plays a crucial role in
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their software requirements designing and implementing technical solutions. Together with our data scientists and machine learning experts you will help integrate our models and algorithms into a software solution
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various techniques to investigate fiber-reinforced structures in nature, including additive manufacturing, computer simulations, materials testing, and characterization of 3D structures using tomographic
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(including evolutionary genomics), algorithm development (including the development and application of machine learning approaches to study proteins), and tool construction. There are many national and
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, marine mammals and birds in both benthic and pelagic areas. We also explore human behaviour, i.e. fishers. For this we use (experimental) field and lab data, mathematical models and computer simulations
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, machine learning, and data analysis. Concurrently, your background in SE will allow you to guide students in integrating these AI concepts into solid, efficient, and scalable software systems. In a
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(WOFOST, DSSAT); Proven skills with scripting and programming (e.g. Python, R, GIS); Ability or willingness to learn about AI/ machine learning; Experience with the visualisation of results to facilitate
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-of-the-art data-analytical techniques, such as machine learning methods. To gain insight into the underlying mechanisms between nutrition and health, it is crucial that predictive, integrative and causal