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for an individual with strong conceptual, analytical, teamwork, and problem-solving skills who has the ability to plan the work independently with minimal supervision and adhere to a time plan to meet the deadlines
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developmental post, and the successful candidate will be supported to develop legacy research plans from this research programme. The post provides an excellent opportunity for a motivated candidate to work with
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Presentations at conferences and/or high-quality publications Advanced knowledge of Python programming language and experience with libraries for data analysis and visualisation, such as NumPy, SciPy, Pandas
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an integrated programme of medicinal chemistry and further screening, PTSuppress will optimise these lead compounds and repurpose already approved drugs. Ultimately, we will validate the best compounds/drugs
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within a Unix/Linux HPC or cloud computing environment Proficiency in programming (e.g. using Linux/Python and R), command-line applications, and programming standards such as version control High level
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decisions in acute leukaemia” award to Professor Moorman. The overall aim of the programme is to explore the genomic landscape of acute leukaemia and its association with clinical outcome. All the genomic
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, the flagship programme of the Newcastle Health Research Partnership. In addition to the Newcastle PSRC, the postholder will have an academic home at the Newcastle University Population Health Sciences Institute
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the Galapagos giant tortoise lineages. Results from this project will then be used to guide an ancestry-informed captive breeding program, which will be designed during the post. You should have (or be about to
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Knowledge, Skills and Experience Proven experience with machine learning model design and implementation, particularly in computer vision tasks (image classification, object detection) Strong programming
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• To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration • To plan and manage own research