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PhD Studentship: Multi-robot Cyber-physical Systems for Solar Farm Health Monitoring and Maintenance
-physical Systems for Solar Farm Health Monitoring and Maintenance Supervisors:Dr Euan McGookin & Dr Ahmad Taha Year 1 MSc Course: MSc Communication and Signal Processing Year 2 – 4 PhD Location: Glasgow
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in a subject relevant to the proposed PhD project (such as mathematics or theoretical physics) is our standard entry, however we place value on prior experience, enthusiasm for research, and the
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Are you passionate about cognitive computational neuroscience and eager to contribute to cutting-edge research in perception? We invite applications for a fully funded PhD studentship supported by
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of the CDT in Process Industries: Net Zero . The successful PhD student will be co-supervised by academics from the Process Intensification Group at Newcastle University. Established in 1925, Croda is
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | 1 day ago
semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Dresden Leibniz Graduate School (DLGS) is a joint interdisciplinary facility
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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PhD position on Modelling of Ocean Alkalinity Dynamics Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 30 August 2025
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Apply now The Faculty of Science and Leiden Institute of Advanced Computer Science (LIACS) are looking for candidates for a: PhD in Deep learning for Electron Microscopy pipelines (1.0 fte) As a PhD
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research and supervision in an interactive and flexible setting? The research group of Jun.-Prof. Dr. Endo, just launched in May 2025, is looking for highly motivated candidates for PhD or postdoctoral
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diffusion models usually needs to access a pre-trained model multiple times sequentially to generate high-quality images or videos, which is time-consuming. The training process of diffusion models is also