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Field
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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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PhD Studentship: Integrating computational physics-based simulation and machine learning with drug discovery pipelines Award Summary 100% home fees covered, and a minimum tax-free annual living
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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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the European Marie Skłodowska-Curie Actions (MSCA) Doctoral Network “B-ACTIVE”. The position is 36 months and funded by the European Union’s Horizon Europe Research and Innovation programme under the grant
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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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McDermott ([email protected] ), School Interim Director of Impact and Innovation (Research), or Dr Irina Anderson ([email protected] ), School MPhil/PhD Programme Leader. How to apply Please send a
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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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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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Applications are invited for a PhD student to work on developing computer architecture for quantum computers, under the supervision of Dr. Prakash Murali. Quantum computers hold immense potential
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of cellular networks hampers our ability to establish causal relations between genetic alterations and disease phenotypes. In this PhD you will address this by a deep learning model of drug responses in cancer