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and graph learning frameworks such as PyTorch, PyTorch Geometric. Knowledge in the field of drug discovery/molecular property prediction and recommender engines (especially using graph learning methods
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of plants to challenging environmental conditions. The PhD candidate will be integrated in the Vienna Doctoral School of Ecology and Evolution (https://vds-ecology-evolution.univie.ac.at/). The project: We
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Sciences focuses on developing computer-based approaches, particularly chemoinformatics, molecular modeling and machine learning methods, to predict the biological, medical and toxicological properties
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proposal (at least 5 pages, no more than 10 pages) for a PhD project or a dossier of existing chapters Curriculum vitae List of publications, proof of teaching experience (if available) Degree certificates
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knowledge of research practice, as well as a broad understanding of how research operates and how data and software underpin reproducible research Experience with designing and delivering training Very good
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this sound like you? Then join our accomplished team! About the team: The research group Neuroinformatics develops machine learning methods to study the relation of neural activity and cognitive processes, and
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research of new methods to exploit the physical properties of optical and wireless communication media and use quantum effects to increase digital security.
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: Participating in research projects focused on food chemistry and the monitorization of oxidative processes and other relevant chemical reactions in food. Supervising and training PhD, master, and bachelor
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using state-of-the-art geophysical methods (e.g., geoelectrical methods and nuclear magnetic resonance techniques) and biogeochemical measurements. This project will capture pore- to field-scale water and
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deals with the impact of modern media environments on people's thinking, behavior, and opinions, using both quantitative as well as qualitative methods to conduct their research. The position is