30 programming-"Multiple"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" Fellowship positions in United Kingdom
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Development Lead. You will be responsible for contributions to a major new programme of research investigating ethical questions and public views concerning research using post-mortem brains. The project
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Dependent type theory is a foundation of mathematics that allows us to mechanise arguments, and is closely related to higher category theory. It serves as that basis of programming languages and
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online behaviour at scale, across multiple modes of communication (messages, images, video, memes and emojis) that shape participation and meaning in warfare. You will lead and manage a range of individual
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Fellowships Programme aims to support and develop outstanding postdoctoral researchers with either a basic science or clinical background. The fellowships are for two years, supporting the researchers
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Fellowships Programme aims to support and develop outstanding postdoctoral researchers with either a basic science or clinical background. The fellowships are for two years, supporting the researchers
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Fellowships Programme aims to support and develop outstanding postdoctoral researchers with either a basic science or clinical background. The fellowships are for two years, supporting the researchers
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Multiple Long-Term Conditions (MLTCs). It has a particular focus on research that is highly relevant to disadvantaged communities who are most impacted by MLTCs. It is led by a multidisciplinary team of
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end users Proficient in programming or scripting languages, including Python, C++ and Java Script Ability to work independently on multiple streams of research and collaboratively across multi
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Contract Type: Fixed Term contract up to December 2026 Role Summary TWICEASGOOD, a five-year programme of research (2022-2026) funded by an ERC Advanced Grant, aims to better understand how
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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high