2,010 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" PhD positions
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component provided by the industry partner a professional development training program. A tuition fee scholarship for four years. Scholarships also include up to $1,500 relocation allowance. Supervisor: Prof
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, each focusing on different areas within cell and molecular biology: computational biology and bioinformatics, microbiology and immunology, molecular biology, molecular biophysics, molecular evolution
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High Mountain Asia (HMA), known as Asia’s Water Tower, is undergoing rapid economic development with growing populations in quickly developing countries. However, future development is hampered by
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PhD Position in Multiscale Mechanistic Modelling of Animal Development Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 6 July 2025
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This PhD project focuses on the development of next-generation autonomous train technologies that combine energy-efficient control with advanced environmental perception. You will explore how real
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how standard production practices impact biodegradability is essential for creating more sustainable textile alternatives. This research aims to develop a robust framework for measuring biodegradability
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, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally. The successful PhD
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Fully funded 4-year PhD position in Language Evolution We are looking for a full-time PhD candidate to join the research group ‘Language Evolution and Adaptation in Diverse Situations ’ (LEADS), led
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, analytical, and kinetics modelling techniques. To realise the sustainable development of the blast furnace ironmaking process under increasingly stringent global carbon emission regulations, major
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Project Outline Brain development in the first two years of life has lifelong consequences for health and well-being, yet technological barriers prevent us from fully understanding early brain