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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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Supervisors: Prof. Reinhard J. Maurer, Prof. Scott Habershon Summary: The drug discovery pipeline involves the screening of many molecules before viable leads are identified. This involves screening
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life expectancy, it is extremely rare to grow old in good health and by the age of 85 essentially no individual is disease-free. As such, drug discovery research is focusing on potential interventions
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signatures indicative of treatment sensitivity, uncovering and mitigating paths to drug resistance, and predicting toxicity effects of drugs in healthy cells. In the dynamic research environment at SciLifeLab
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signatures indicative of treatment sensitivity, uncovering and mitigating paths to drug resistance, and predicting toxicity effects of drugs in healthy cells. In the dynamic research environment at SciLifeLab
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identify promising drug targets and biomarkers. We are particularly interested in cancer-stroma interactions in pancreatic cancer. You find us at the renowned Science for Life Laboratory (SciLifeLab), where
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are developing a drug for the elimination of cytomegalovirus in high-risk immunocompromised patients and transplant recipients. Project description The recent death of > 6.5 million people caused by the COVID-19
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no individual is disease-free. As such, drug discovery research is focusing on potential interventions that enhance the human health span. One area of research focus is on the reversal of cellular senescence
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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 school such as Social Psychology, Drugs and Addictive Behaviour, Treatment-Resistant Depression, Mental Health Policy and Practice, Individual Differences, Health Psychology, Educational Psychology