12 postdoctoral-image-processing-in-computer-science Postdoctoral positions in Denmark
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and advanced live imaging techniques, and/or computational analysis of spatial omics data — experience in two or more of these areas is highly advantageous Knowledge of cancer biology is a large
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, interdisciplinary team working at the interface of computational biology, genomics, and molecular physiology. Our groups, together with close collaborators aims to understand how biophysical microenvironments such as
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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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descriptions of plasma-neutral-electromagnetic interactions. The postdoctoral researcher will work closely with the project team to bridge modelling and observations. Responsibilities and qualifications The work
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quantification of microbial Infections of Plant tissues”. This project aims to understand how root nodules are colonized by rhizobia using X-ray tomography and advanced image analyses. The postdoctoral candidate
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quantification of microbial Infections of Plant tissues”. This project aims to understand how root nodules are colonized by rhizobia using X-ray tomography and advanced image analyses. The postdoctoral candidate
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Are you interested in real-time distributed systems, IoT connectivity, and AI-driven automation? The Department of Electrical and Computer Engineering at Aarhus University invites applications for a
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FemtoLab at the Department of Chemistry, Aarhus University, is seeking a candidate for a 6-month postdoctoral position. The position is available in the period 1/1-2026 – 30/6-2026 Research You are
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FemtoLab at the Department of Chemistry, Aarhus University, is seeking a candidate for a 6-month postdoctoral position. The position is available in the period 1/1-2026 – 30/6-2026 Research You are
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career