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tentatively entitled “Optimal e-bus charging infrastructure and fleet management considering Vehicle-to-Grid (V2G) connectivity, local renewable energy and dynamic pricing”, and will address “to what extent V2G
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, as well as designing, testing, and debugging to improve software quality across domains such as FinTech, energy, and Industry 4.0. Within this context, the PhD will contribute to the group’s growing
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We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
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work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society. Your role This PhD project focuses on understanding how altered stress granule
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are looking for a highly motivated and dynamic PhD student for a position in the Translational Neuroscience team headed by Prof. Rejko KRÜGER. The Translational Neuroscience team's focus lies in
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candidate will perform prioritized Non-Targeted Assessment across diverse water matrices and case studies, while the AI4Science PhD will develop machine‑learning models that learn from and build upon
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We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX) Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The position is embedded in a broader
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We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data
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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX
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nutrient uptake. Despite its importance, this underground system remains insufficiently understood from a mechanistic and modelling perspective. This PhD project aims to develop innovative mathematical and