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Field
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field is preferred. Candidates should demonstrate a strong record of research and expertise relevant to one or more aspects of BHEX, including black-hole theory, numerical simulation, interferometric data
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an experimental apparatus aiming to develop a quantum processor based on Neutral Atom Arrays. The role will focus on developing the experiment, data acquisition and analysis, and supervision of undergraduate and
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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of algorithms for medical image analysis. The successful candidate will investigate computational complexity, stability, and numerical summaries of multiparameter persistence, as well as applications to medical
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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investigate computational complexity, stability, and numerical summaries of multiparameter persistence, as well as applications to medical image analysis, and participate actively in the research environment
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, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate
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, and Large Language Modelling (LLM). Conduct extensive numerical experiments to validate and evaluate the performance of the proposed models. Present research results as academic papers and reports
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cyclic loading, numerical modelling, lifecycle and sustainability assessment, and pilot testing and monitoring in Norway. The specific activities may be adjusted or further developed based on project needs