43 phd-position-in-data-modeling Fellowship positions at University of Oslo in Norway
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28 Sep 2025 Job Information Organisation/Company University of Oslo Research Field Geosciences » Geology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway
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Overturning Circulation, from models and in situ data 2) using Lagrangian measurements to study ocean dynamics, for example transport and spectral characteristics 3) ocean-bathymetry interactions Other topics
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incorporating context from additional data such as wireline logs or well reports. You are suited for this position if you are highly motivated, have interests in computer vision and neural networks, and want
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to an interview. We hope that you will apply for the position. More information about gender equality initiatives at UiO can be found here. How to apply The application must include: Cover letter (statement
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position We are offering 1-2 PhD positions with specialisation in either comparative politics, political data science, or public administration. The successful applicant(s) will be part of the research
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for more than one Postdoctoral Fellow period at the University of Oslo. Applicant lists can be published in accordance with the Norwegian Freedom and Information Act § 25. When you apply for a position, your
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of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The appointment is a full-time position and is made for a period of three years, 10% of which is
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English English English PhD Research Fellowship PhD Research Fellowship in Political Science (3-4 years) Apply for this job See advertisement About the position We are offering 1-2 PhD positions with
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for imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing
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accordance with this, and expected to be in the upper segment of their class with respect to academic credentials. You will be working on problem solving, programming, data modeling and analysis, scientific