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Field
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strategies for sampling and analysis of diagnostic and therapeutic proteins in biological matrices, for example from a single drop of blood. Our goal is to bring advanced protein analysis closer to clinical
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designing learning activities and producing digital learning resources for the courses: digital lectures, interviews with specialists, podcasts, texts and visual materials, assignments, and other components
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for generating high‑quality diagnostic images and enabling precise visualization of biological processes at the molecular level. Working in close collaboration with scientific partners, the project aims to refine
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enabling precise visualization of biological processes at the molecular level. Working in close collaboration with scientific partners, the project aims to refine and optimize trapping methodologies
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strategies for sampling and analysis of diagnostic and therapeutic proteins in biological matrices, for example from a single drop of blood. Our goal is to bring advanced protein analysis closer to clinical
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parameterisation, sensitivity analysis and optimisation is an advantage. Good competence in time series analysis, dynamical systems theory and bifurcation analysis is an advantage. Interest in translational
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supports these educational activities and further contributes to the group’s research priority in model-based policy analysis for sustainable development. Qualifications and personal qualities: Applicants
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and further contributes to the group’s research priority in model-based policy analysis for sustainable development. Qualifications and personal qualities: Applicants must hold a Norwegian PhD or an
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: Experience with R (data wrangling, visualization, statistical modelling) Experience with experimental methods (e.g., eye-tracking, EEG/ERP, self-paced reading, speech production) Experience working with
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Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five adjunct positions and carries out research across image analysis and machine