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17th August 2025 Languages English Norsk Bokmål English English The USN School of Business has three vacancies as PhD Research Fellows in Management Apply for this job See advertisement About the
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machine learning Personal and relational qualities will be emphasized. Motivation, ambitions and potential will also count when evaluating the candidates. Special requirements for the position
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machine learning. Magnetic Resonance Imaging. Laboratory experience from porous media research related to physics and/or chemistry. Personal and relational qualities will be emphasized. Motivation
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15th September 2025 Languages English Norsk Bokmål English English PhD Fellowship in Algebraic and Symplectic Geometry Apply for this job See advertisement Job description The University
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power engineering. In condition monitoring non-invasive data is analyzed through machine learning algorithms or by statistical methods. The aim of predictive analysis is to use non-invasive methods
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. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 25th August 2025 Languages English English English PhD Research Fellow in Chemistry-focus
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
UiO/Anders Lien 25th August 2025 Languages English English English PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys Apply for this job See
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that the candidate will acquire from the PhD project, including positions that entail software development, engineering or consulting for the energy or process industry, and academia. The career promoting work will
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will be adapted to the candidate’s background and the evolving needs of the center. Possible directions include the application of rock physics models, Bayesian inversion methods, and machine learning