106 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at Aalborg University
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measurements and interpreting complex data using advanced post-processing techniques (e.g., Distribution of Relaxation Times or DRT). The postdoc will also contribute to the development of an experimental setup
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and UUV to support autonomous coordination and mission execution. This includes using relative measurements, shared environmental representations, and synchronized data exchange to enable precise and
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. This may be through data collection, data curation, programming, modelling, experiments, open science, development, cooperation with companies, or other activities which may result in publications, patents
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group, which covers a broad range of geodetictopics like satellitegeodetic and Earth observation (EO) data assimilation, precise GNSS positioning, and surveyingtechnology. Research Profile Wearelooking
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of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting will be applied. This means
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leading the establishment of a centralized repository for genomic data and metadata, with a strong emphasis on existing and novel methods for the evaluation of genome quality, indexing and clustering
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at www.es.aau.dk. Your work tasks This PhD project is part of a bigger Novo Nordisk Foundation (NNF) New Exploratory Research and Discovery grant entitled: Information Theoretic Disentanglement of the Exceptional
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for further information on admission requirements. Who we are How to apply Your application must include the following: Application, stating reasons for applying and qualifications in relation to the position
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series (GREAT). The group currently consists of 3 associate professors, 2 assistant professors, and 4 PhD students. You may obtain further information about the department here: Department of Mathematical
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analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with