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Field
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Hours: Full time (with possibility of less than full time upon agreement with Programme Director and funder) Contract: Fixed-term for 3 years Location: Liverpool/Remote/Overseas (Global South) Fully
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This 3-year PhD position offers an exciting opportunity to join the STRIPS Project (Swansea Tata Research and Innovation Prosperity Partnership for Printed Perovskite PV). As part of the STRIPS project, which encompasses 4-6 PhD studentships across 5 research groups, you will be an integral part...
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computational approaches towards a new project which seeks to better understand the causes and consequences of the correlation between multiple traits and to quantify trait variation that arises from new
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related field, or equivalent experience Solid understanding of human-computer interaction fundamentals and ideally evidence in the form of publications, industrial output, or portfolio items, including open
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earlier as well as understand the mechanisms driving CIN. This project will aim to build upon previous work within the group developing computational methodologies to detect and deconvolute the mutational
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skills (Python preferred) and solid understanding of machine learning and deep learning, including computer vision techniques. Ability to read, write, and communicate scientific texts clearly; strong
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ABOUT VINUNIVERSITY’S RESEARCHERS 200 VinUniversity is proud to launch the Researchers 200 Program, designed to attract exceptional early-career researchers from around the world to join our vibrant
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading