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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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part in teaching and supervision at BSc and MSc level, and to take responsibility in grant application writing. We seek a candidate with knowledge of the application and analysis of Sensory & Consumer
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computer graphics, or human vision and attention. The posts require research skills in the design of studies, use of methods, research prototyping and data analysis, and you should have documented experience
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employment The position is for a 2-year period starting 15 July 2026. Job description The post doc will join Kasper R. Andersen’s research group working on structural and functional analysis of plant receptors
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to ecological monitoring. The successful candidates will help further develop analysis pipelines and implement next‑generation sensors for automated monitoring of insects across Europe. The positions are part of
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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
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to specifically the area of measurements, analysis, and documentation of the GHGs (CO2 and CH4) from peatland established with sphagnum moss under controlled hydrology. After some years the upper part of the living
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the following areas. You have a background in tissue-based molecular research and experience with tissue sectioning and the generation and analysis of spatial molecular data. Programming expertise in Python and R
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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simultaneously. By doing so, the project uncovers key pathways and mechanisms in prostate cancer progression. This will be achieved by analyzing samples using spatial transcriptional and proteomic analysis in