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the MIDA – Methods for Image Data Analysis – research group at the Department of Information Technology, and will be conducted alongside other researchers at the Centre for Image Analysis who develop
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, Psychology, Neuroscience, Computer Science, or a related field, interested in interdisciplinary approaches to understanding human cognition, experience with experimental research and data analysis, and
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make use of historical and new datasets from several SuperDARN radars along with data from the EISCAT radars to determine this. Furthermore, the candidate is expected to develop new analysis methods
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technologies. You will work at the interface of data science, imaging technology and biomedical research, developing analysis strategies for complex real-world datasets ranging from preclinical experiments
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14 Sep 2026 Job Information Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 28 Sep
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deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification requirements PhD stipends are allocated
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of pressure and temperature cross-sensitivity. Developing methods for processing spectral measurement data, including Bragg peak tracking, peak-shape analysis, analysis of birefringence-induced peak splitting
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, decolonisation and intersectionality. You are trained in qualitative research and analysis methods. You have experience with conducting fieldwork, collecting and analysing qualitative data, ideally in relation
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of microbiome and clinical data; experimental studies of microbial adhesion and biofilm formation; analysis of carbohydrates and proteins involved in host–microbe interactions; and protein profiling
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Danfoss, you will combine thermofluid modelling, reduced-order multiphysics methods, and nonlinear rotor dynamics analysis to develop predictive modelling tools that support the industrial design of