885 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" PhD positions
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reproduction, novel contraceptive development, and the conservation of Australian fauna. The project is laboratory based and expected to be undertaken full-time, onsite at the Callaghan campus. PhD Scholarship
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functional theory. In collaboration with Phasecraft, a leading quantum algorithms company, this project will explore the generation of new quantum computing datasets and the development of machine learning
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independently and collaboratively Preferred Qualifications: Experience with multi-phase flow simulation, reactive-transport simulation, groundwater flow simulation, and model development Basic knowledge
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. The Integrated Vehicle Health Management (IVHM) Centre is a major collaborative venture at Cranfield, started in 2008, with funding from the East of England Development Agency (EEDA); a consortium of core
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)” It is becoming increasingly clear that the development and progression of cancer, including OSCC, involves not only genetic/epigenetic abnormalities in the cancer cells but also requires a mutual
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electro-thermo-mechanical finite element (FE) simulation of resistance spot welding, including comparison to physical welds. Development of a CFD model for simulation of melt pool dynamics and coupling it
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University of Science and Technology (NTNU) has five vacancies for PhD candidates within different disciplines of Systems Engineering/New Product Development, funded through the Centre for Research-based
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discussions, ensuring continuous learning and vibrant scholarly exchange. • Comprehensive Skill Development: Alongside academic training, you will acquire transferable skills essential for professional success
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discussions, ensuring continuous learning and vibrant scholarly exchange. Comprehensive Skill Development: Alongside academic training, you will acquire transferable skills essential for professional success
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development center (FFRDC) at Carnegie Mellon University. What you’ll do: Develop state of the art approaches for analyzing robustness of AI systems. Apply these approaches to understanding vulnerabilities in