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for all functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 23rd July 2025 Languages English English English PhD Research Fellow in Bioinformatics and Gene
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PhD and explain how your background, research and experience are relevant to the AIP research project. Indicate which of the qualification requirements you meet. Project proposal. 5 pages. The proposal
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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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15th August 2025 Languages English Norsk Bokmål English English Four PhD Fellowships in subsurface characterization Apply for this job See advertisement Job description The University of Stavanger
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
: Professor Atle Hauge, phone number: +47 97 08 48 86, e-mail: atle.hauge@inn.no Head of PhD programme Marit Engen, phone number: +47 61 28 81 07, e-mail: marit.engen@inn.no How to apply Please indicate in your
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. It is a prerequisite that you complete the project during the employment period. Qualification requirements You must have a PhD with a specialisation relevant for the project. The PhD thesis must have
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for three years with research duties exclusively, or four years with both research and other career-promoting work. This will be clarified in the recruitment process. Research topics One PhD fellowship
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of excellence. The main focus will be on developing novel voice and language-based natural language processing (NLP) methods for languages with less data than ideal for the development of cognitive tests
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disrupting cellular signaling via G protein-coupled receptors (GPCRs). We have recently discovered that these chemicals disrupt adenosine and melatonin receptors widely expressed in the brain. Given
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updates, and interoperability at scale. In close collaboration with project partners, the PhD candidate will focus on relevant data modeling and processing approaches for data gap filling, redundancy