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https://www.ntu.edu.sg/erian This Candidate will be working on a renewable project to support projects on energy storage sizing, integrating distributed energy resources, renewables, and other advanced
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battery deployment Work with CSIRO researchers and electricity distribution network service providers on industry‑relevant research Three‑year postdoctoral fellowship with structured career development
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 9 hours ago
international granting agencies. This is an excellent opportunity for the right candidate to build a strong network of contacts and increase their publications. We invite applications for a Postdoctoral Fellow to
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD fellowship position is located at the Department of Informatics and is hosted jointly by the Network
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applications (https://dcm.univ-grenoble-alpes.fr/research/ingenierie-et-interactions-… ). The candidate will be based Grenoble, with secondments in other laboratories of the network. Grenoble is the largest city
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collaboration. FTMC provides a strong scientific base, international research networks, and the flexibility for doctoral students to develop independent, high-impact research. Topic: Analysis of microplastic
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). The position is subject to financing by the University of Bergen. About the project/work tasks Geometric Deep Learning (GDL) is a branch of machine learning that develops neural network models by explicitly
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electric vehicles using AI technology. The role aims to advance thermal performance through innovative energy distribution and waste heat recovery strategies. The Postdoctoral Research Fellow will undertake
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(researchers, postdocs, PhD research fellows, technicians). The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year
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, and to better understand the impact of anomalies on hydraulics and water quality in distribution networks; Implementation in EPANET-MSX of water quality models for water distribution networks; Advanced