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science or systems engineering. Knowledge of AI/ML algorithms, particularly graph neural networks and reinforcement learning, is highly advantageous. A keen interest in distributed computing, IoT architecture, and
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Hochstenbach. This project is funded through a Vidi-grant from NWO, the Dutch Research Council. The DWELLWELL project will involve two PhD-candidates working with different methods on different research
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), such as solar photovoltaics (PV), electric vehicles, heat pumps, and storage systems, into distribution networks. Delivering this transition requires coordinated innovation across both active distribution
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biological mechanisms is necessary to establish mechanistic models for tree distribution and growth that will improve our predictions of tree species' range-shifts as well as productivity changes within
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. The DWELLWELL project will involve two PhD-candidates working with different methods on different research questions. While housing is recognized as an important social determinant of health, this relationship is
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At the Faculty of Engineering and Science, AAU Energy, one or more positions as PhD stipend is available within the general study program. The stipend is open for appointment from September 1, 2026
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 8 days ago
Marie Curie Doctoral Network 'AGILE' has got 15 open PhD positions: https://www.msca-agile.eu/ AGILE “Advanced Training for Next Generation Scientists in Spatio-Temporal Imaging of Plant Cells”, is a
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(maximum 1 page) BSc and MSc Transcripts (list of courses and grades) You can address your application to Georgios Iosifidis. This PhD position is part of the Marie Curie Doctoral Network FINALITY
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: Design layered control architectures with sentry and reversionary functions that provably allow the system to "degrade gracefully". Experimental Validation: Demonstrate your methodology on a networked
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from noise correlations at different scales in order to obtain a comprehensive understanding of the lithospheric structure of the FMC. Data from the main MACIV network and the three profiles will be used