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this high number allows for good statistical analyses of the known exoplanets and the systems they occur in, none of the systems resemble our solar system. and only a few hundreds of exoplanets can broadly be
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on research that makes a difference and is solution-led. We work closely with industry partners and government to put findings into practice and to have a positive impact in the field of education. About the
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. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
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mathematics, machine learning, informatics, or related field, eligible for registration as a PhD candidate at UIB Knowledge of physical oceanography is a plus Fluent in both spoken and written English Personal
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experience in statistical analysis and practical skills in statistical software such as R or STATA. It is considered an advantage if you: Have knowledge of health registries, perinatal epidemiology
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Integreat – the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo invites
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for performing the role: Excellent knowledge and motivation – [≥ 4 and ≤ 5] points; Good knowledge and motivation – [≥ 1 and < 4] points; Lack of knowledge or motivation – [≥ 0 and < 1] points. E-C2 – Attitude
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About us: This Fellowship is a collaboration between King’s College London, King’s College Hospital, Guy’s Hospital and the Tessa Jowell Brain Cancer Mission. The post leverages the close
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: each for twelve months] Duties The appointees will assist the project leader in the research project - “Advancing digital healthcare and medicine with AI: Intelligent analysis and knowledge discovery in
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evaluation is desirable. Good understanding of microstructure–property relationships in structural alloys. Knowledge of fracture mechanics and experience with fracture experiments would be an advantage