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using deep learning at the forefront of drug design. You will research and develop novel deep learning architectures including pre-training and fine-tuning methodologies for chemical language models
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using deep learning at the forefront of drug design. You will research and develop novel deep learning architectures including pre-training and fine-tuning methodologies for chemical language models
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of the major departments within the Faculty of Science. The department has approximately 110 employees and educates approximately 1 000 students annually. Education is oriented towards geography, geosciences
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knowledge gaps about how glial cells during the fetal development are affected by pesticides found in food. The project aims to develop and refine so-called Adverse outcome pathways, that are used for risk