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approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
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more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By
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that bridge quantitative modeling and qualitative approaches. Postdoctoral researcher in peri-urban energy planning and sufficiency Your tasks Develop and apply optimization and simulation models to assess
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
measurements Basic knowledge of molecular simulation or modelling (e.g., molecular dynamics, coarse-grained modelling, or structure–property simulations) is advantageous Excellent written and oral
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complementary perspectives. 2 Tenure-Track Group Leader Positions in the Climate Solutions Hub (80–100%) Position 1: Modelling Implementation Potentials & Scaling Trajectories You will be responsible
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. Phototherapy evaluation: Study activation under NIR light and assess catalytic and photothermal performance. Biomedical evaluation: Validate efficacy in vitro astrocytoma relapse models and ex vivo patient