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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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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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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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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 new drugs to implantable medical devices. In this project, the student will develop various approaches to allow deep Raman spectroscopy. These approaches will rely on computer modelling of light
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therapeutic applications in the treatment of various diseases and is promising evidence for the invention of new therapies. For example, 1,1-dimethylbiguanidine is an active component of the drug used in DM
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Supervisor: Prof Ioan Notingher (School of Physics and Astronomy) Positions available: 1 Funding: fully-funded (stipend and PhD fees) Start date: September 2024 Duration: 3.5 years Subject Area
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within a Research Infrastructure? No Offer Description Contexte et atouts du poste The main goal of this PhD project is to develope a deep learning framework for the design of cyclic peptides. This project
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: Research and Development, SO 1.1: Developing and enhancing research and innovation capacities and deploying advanced technologies, to fill research position: FaF_VZ1_32: PhD Student, 0,2 FTE (20 %), Place of