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diagnosis Biomarker attachment, surface chemistry optimisation, and biosensor signal readout analysis In vitro biological evaluation using mammalian cell culture systems, including 2D cultures, 3D spheroids
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execute MR experiments using hyperpolarized 13C tracers in collaboration with project partners Develop robust experimental procedures and protocols to ensure reproducibility Contribute to data analysis and
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. The postdoc will play a central experimental role in the project and work closely with a dedicated postdoc supporting advanced computational analysis and interpretation of data. The position offers substantial
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be used to prepare lamella samples for high resolution cryo-EM imaging and tomography. From AI assisted image analysis, 3D models for key proteins and biomolecular complexes will be fitted into 3D
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++), skills in data analysis, and scientific writing is essential. While all roles require a strong foundation in AI, each has specific technical requirements: The NAMUR position at Aalborg University requires
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well as in quantitative analysis, preferably within either psychometrics and/or epidemiology. The candidate should have a strong and documented interest in the areas addiction research, clinical psychology
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publications as well as in quantitative analysis, preferably within either psychometrics and/or epidemiology. The candidate should have a strong and documented interest in the areas addiction research, clinical
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function and cellular behaviour. The project combines state-of-the-art mass spectrometry-based proteomics, quantitative PTM analysis, and mechanistic cell biology to uncover how regulatory proteome states
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experiments on the behavior of emerging contaminants in porous media Performing quantitative data analysis and interpretation of experimental results Working in close collaboration with modelling activities
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) as well as various other algorithmic methods for data processing and analysis. Current projects within this scope include, but are not limited to: Detection and classification of lesions Segmentation