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very challenging. Therefore, high-throughput screening of drug-like molecules needs to also consider their synthetic viability. The aim of this project is to develop a deep learning and generative design
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Experience in biophysical approaches in drug discovery Experience in computer-aided drug design Holistic vision of the drug discovery process Collaborative, team-oriented and motivated
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with leading chemists in Australia and Germany in drug design and discovery. Program Structure Within the program the student performs a joint research project with a research laboratory in the partner
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? Not funded by an EU programme Reference Number EU22/28 Is the Job related to staff position within a Research Infrastructure? No Offer Description ACADEMIC DEGREE Phd (Exclusive requirement: provide
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improving the design and properties of bioportides, this project will, therefore, support therapies to treat unmet medical needs including spinal injuries, Parkinson’s disease, and cancer. PhD investigations
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methodologies. Candidates Requirements PhD and Postdoc in Computational Chemistry or a related discipline with a demonstrated track record in Modeling, Computer Aided Drug Design (CADD) is required Expertise in
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phenotypes. In this PhD you will address this by a deep learning model of drug responses in cancer. The PhD position focuses on predicting cell type-specific drug responses, identifying transcriptional
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The Group Leader, Drug Discovery Biology is responsible for managing and supervising aspects of drug discovery biology, including target identification and validation through advancement of drug
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phenotypes. In this PhD you will address this by a deep learning model of drug responses in cancer. The PhD position focuses on predicting cell type-specific drug responses, identifying transcriptional
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of the precision clinical trail NEPTUNE Match effort to develop molecular disease endophenotypes in glomerular diseases. Successful applicant will be expected to establish an independent research program, design and