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designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
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transporters based on their structural characteristics. Main activities: -Conduct multiple sequence alignment of plant transporters using phylogeny-aware profiles -Computationally predict and then analyze high
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topics include: Modelling, simulation, and optimisation of integrated energy systems and energy hubs combining multiple vectors, such as electricity, heating, cooling, gas, hydrogen, and transportation
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willingness to work in collaborative projects with multiple partners and present results at conferences, project meetings and partners; Very good English language skills (German is not required, but beneficial
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skills and willingness to work in collaborative projects with multiple partners and present results at conferences, project meetings and partners; Very good English language skills (German is not required
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CDT in Machine Learning Systems About the CDT Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic
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7 Nov 2025 Job Information Organisation/Company University of Basel Research Field Computer science » Other Engineering » Computer engineering Mathematics » Computational mathematics Researcher
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with disabilities through inclusive Human-Computer Interaction (HCI) and participatory design methods. This PhD project will focus on methods and experiences in co-designing with stakeholders, especially
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Social Participation). TACIT focuses on the co-design of inclusive and accessible AI and other technologies for people with disabilities through inclusive Human-Computer Interaction (HCI) and participatory
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by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large