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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning for improving
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and embedded cryptography, and quantum programming languages. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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candidate has experience with two or more of the following points. Reactor operation (lab- or pilot-scale) Operation and maintenance of control systems and sensors Proficiency in process modelling and
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biologging multi-sensor acoustic tags on bats and toothed whales in the wild and combine these data with array recordings, noise playbacks and phantom target generators on trained animals in the lab
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spatial variability of soil health. You will be contributing to specifically the area of using proximal and remote sensors, soil physical, chemical and biological data, as well as plant and weather data