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the project is the development of AI-based pipelines for detecting, segmenting, and classifying lichen communities. Convolutional neural networks (e.g., U-Net, DeepLab) and machine-learning algorithms (e.g
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screening (microfluidics) to discover new enzymes and bioactive molecules with applications in biotechnology, medicine, and sustainability. The network brings together leading academic and industrial partners
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
(MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala Universitet. Print4 Life – Advanced Research Training for Additive Manufacturing of the Biomaterials and Tissues of the Future https
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, respectful, diverse and international. Good coffee, for free. Or tea, if you prefer it. The opportunity to build a broad national and international network of scientific and industrial partners, and develop
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language. We offer Opportunities to collaborate with international research groups, enabling you to build a strong scientific network. The possibility to mentor students and interns and contribute
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international academic network. Supervisors: Prof. Louis Visscher (first supervisor) and Dr. Aylin Aydin-Çakır (co-supervisor) Where to apply Website https://www.academictransfer.com/en/jobs/357019/phd-position
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collaborate with these collectives? Do you want to find out how citizen collectives and local governments can develop co-creative partnerships based on equal footing respecting reciprocity, trust and
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satellite SAR, LiDAR and/or optical imagery to enable rapid, safe, and scalable assessments of damage. Candidate methods for temporal modelling and anomalies detection, which are likely to occur at affected
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millions of images of wildlife worldwide, offering unprecedented insights into ecosystems. However, analysing these datasets is a major challenge: AI systems excel at detecting common species but often fail
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Job Description Do you want to be part of the circular revolution to rethink the way we value the built environment? Join us as a fully-funded PhD in the MSCA doctoral network QuiVal - Quantum