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Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by
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Germany (so-called 'sandwich model'). Your project must be agreed with both supervisors according to the following procedure: You start your doctoral degree in your home country. This is followed by
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new generations. Hence, the control of these elements is particularly important in these cells. One of the major defense mechanisms that helps to keep TEs in check is known as the piRNA pathway
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hotspots, and they are exceptionally beautiful. We will use a combination of molecular tools, quantitative genetics, and population genetic modelling to study genetic diversity in DNA sequence and phenotype