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20 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Medicine, Department of Health Science and Technology, Medical Informatics and Image Analysis Research
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datasets High proficiency in data analysis and statistical programming using R and/or Python. Experience working in high-performance computing (HPC) environments for large-scale analyses and with workflow
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science. The candidate will be expected to take the lead in collecting, preparing, and analyzing data to support the project. Advanced econometric analysis skills are essential, along with a keen interest
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, data management and analysis (under supervision) Performing research tasks within the area of classical archaeology, e.g. Literature searches and image processing Supporting processes in connection with
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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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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
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adaptive, personalised, and data-informed learning experiences. The project combines educational development, generative AI tools, learning analytics, experimental implementation, and quantitative analysis
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data. Statistical analysis using R and/or Python. Reproducible computational workflows. Scientific writing and publication. Microbiome research and host-associated microbial communities. The ideal
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simulation data Excellent programming skills, preferably in Python including code versioning in GitHub Experience with statistical analysis and/or machine-learning methods Knowledge of protein structure
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examination of Bachelor’s and Master's degree students, as well as possibly supervision of PhD students. Some degree of contribution towards attracting external research funding. Intravital imaging and analysis