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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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to analysis Specific Requirements Applicants should have: · a PhD in neuroscience, psychology, cognitive science, or related fields · experience with EEG acquisition and analysis · experience in experimental
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Zeppelin airship Apply advanced data analysis methods, including statistical tools and programming, to large multidimensional datasets from chamber and airborne experiments Present your results
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. Applicants must meet the English language requirements for admission to the PhD programme at the University of Oslo. Information about requirements and possible exemptions can be found here: https
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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laboratory processing of root data Assist in ongoing field sampling campaigns Conduct basic data analysis Collaborate with PhD researchers from the modelling and experimental teams to link data and model
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recovered, transcribed, and edited within the scope of this project. The candidate’s background can be either in in traditional music analysis (with a PhD in musicology, music analysis or music theory) and/or
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pipes in the subsurface. Innovation opportunities lie in combining physics-based knowledge with AI-assisted data analysis and data fusion techniques. By integrating multiple data sources and sensor