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to explore new analysis methods using deep learning. Depending on the interest, it is also possible to be involved in the wet lab. Professor Tiwari also leads the Center for Integrated Multiomics in Precision
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge
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into global environmental changes, and ecosystem sustainability Experience with deep learning, radiative transfer modeling Teaching and supervision experience Who we are At the Department of Agroecology, our
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to explore new analysis methods using deep learning. Depending on the interest, it is also possible to be involved in the wet lab. Professor Tiwari also leads the Center for Integrated Multiomics in Precision
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work is Hangøvej 2, Aarhus, 8200 and the area of employment is Aarhus University with related departments. The position will also require attendance at the Deep Tech Experimental Hub, in Aarhus North and
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to contribute to: (1) The design and build-up of a deep-UV supercontinuum source for ultrafast pump-probe transmission / reflection spectroscopy. (2) Investigate the dynamics of electrons and holes in selected