18 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at University of Stavanger
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journals with ongoing data collection and possibility of further expansion. The candidate will work at the intersection of AI, information retrieval, multimodal learning, and clinical decision-making
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institution on the expected date of obtaining the doctoral degree. complete list of academic publications with information on where they are published. You may also upload up to 5 publications, including your
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applications, while the candidate working on Deliverable 2 will apply theoretical physics and statistical methods to LISA data analysis. The work will be carried out under the supervision of Assoc. Prof. Germano
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learning models expansion of the application areas of such models through data set generation and testing of models In our group we have already made contributions in this field across a varied set of
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of these categories, feel free to indicate it when applying for the position. Learn more about the criteria for being considered an applicant in these specific groups here . Contact information More information on the
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testing, instrumentation, data acquisition systems, and numerical or analytical modelling of fatigue damage will be considered an advantage. motivation and potential for research within the field
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, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches, the project will provide practical models for hazard
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participatory ethnography, and comparative case studies. You must be willing to work closely with scholars across methodological divides, and to analyse text data through quantitative and qualitative methods
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logging-while-drilling (LWD) measurements provide new information about geological details around the bit, resulting in continuous reassessment and possibly correcting the well trajectory. These adjustments
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education. Research topic The PhD Fellow will be affiliated with the research project “Resuscitation data analysis”, which is a collaboration between researchers at Department of Mathematics and Physics and