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, you will conduct cutting-edge research in these areas. You will learn state-of-the-art techniques in formal methods and knowledge representation and apply them to high-impact use cases related
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of the researchers of the DKM group are also affiliated with the Norwegian Centre for Knowledge-driven Machine Learning (Integreat) . The candidate is expected to join Integreat and strengthen the interdisciplinary
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
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working with machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in
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for yourself with the ability to purchase coverage for eligible dependents. Position primarily works on campus, but some remote work may be possible. Fellowship Learning Goals: To learn to function as a
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, statistics, and machine learning. We offer a full-time position with the following benefits: Flexible working conditions including negotiable part time contract. Monthly gross salary: 54 - 72 thousand CZK
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dynamics, and machine learning methods in Grant-in-Aid for Transformative Research Areas (A): "Ion Congestion Science". Specific research backgrounds are not required but experiences of the following fields
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staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the
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School of Health & Medical Professions (SHAMP), Idaho Office of Underserved and Rural Medical Research (IOURMR) is seeking 1 postdoctoral fellow to join the dynamic Research and Evaluation (R&E) unit
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guidance throughout the entire doctoral programme. Together we will draw up a career plan that includes the skills and knowledge you will acquire. An inclusive and supportive working environment with