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PhD Project in Data Science and Geometric Models of Morphology and computer vision for detection and segmentation in plant images Department of Computer Science Faculty of SCIENCE University
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start. Applications are welcome to our Schools listed below. For any queries about any aspect of the application process or informal enquiries about where your research might fit within a School, please
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 1 month ago
offered a position later. Additional comments Application Process All applications must be submitted via the online portal no later than 30 November 2025: https://oc10.meduniwien.ac.at/open-phd-positions
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of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development
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students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position A PhD position, fully funded for three years
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7th January 2026 Languages English English English The Department of Biology has a vacancy for a PhD Candidate in Plant Evolutionary Ecology: plant-parasite interactions under climate warming Apply
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. In association with the SFB 1436, Neural Resources of Cognition (supported by the German
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proposal. This PhD will evaluate the efficacy and suitability of digital image collection and analysis for beach litter characterisation on heavily-littered coastlines, in partnership with community groups
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learning has strong potential for computer vision, from hyperbolic image segmentation [2] to hyperbolic tree embeddings [3] and hyperbolic vision-language models [4,5]. [1] Nickel, Maximillian, and Douwe
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explaining your motivation for applying to this PhD Studentship to: Supervisor Review Form . Our supervisors will perform a comprehensive review to long-list candidates. Deadline: 8 January 2026 Stage 2