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hospitals in the Central Denmark Region. We have approx. 30,000 square metres of modern research facilities for experimental surgery and medicine, animal facilities and also advanced scanners at our disposal
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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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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neuroimaging and psychopharmacology. Our multidisciplinary teams combine expertise in neuroscience, psychiatry, imaging, and pharmacology to explore how drugs and psychiatric conditions influence brain function
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1.1.2027 or as soon as possible. Job description You will be contributing to/establishing/developing an in-situ imaging system for NH3. You will be further developing optical NH3 sensors in the laboratory
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to the operation, development, and maintenance of laboratory infrastructure across the department. The position involves collaboration with researchers, students, and technical staff in a broad range of experimental
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O-PTIR, Raman, and fluorescence imaging methods. Analyze micro- and nanoplastics in biological and environmental samples. Process spectral and imaging data using chemometrics and multivariate
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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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take approaches combining mouse developmental genetics, cell-type-specific viral tracing, ex vivo electrophysiology, opto/chemogenetics, in vivo imaging, single-nucleus RNA sequencing (snRNA-seq), and
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universities. The transition towards electrified and energy-efficient energy systems poses significant challenges in predicting the coupled behaviour of thermofluid, electromagnetic, and rotordynamic processes