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, vegetation mapping, and LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our
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into English. The project proposal, project abstract, and CV must be written in English. Use of large language models or related AI tools in any capacity must be disclosed in accordance with best academic
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, vegetation mapping, and LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our
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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e., complex material layers that can be optimized to specific battery
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of “Developing locally integrated models for sustainable energy investments in rural areas”. The sustainable transition of Europe’s energy infrastructure involves large investments in new infrastructure, such as
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and quantitative sustainability assessment methods, including Life Cycle Assessment (LCA), Energy System Analysis (ESA), and socio-economic modeling. The candidate will be expected to contribute
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participation in six international training weeks, and international secondments with academic and non-academic partners. The PhD position will focus on the topic of “Developing locally integrated models
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Programming Beyond the Circuit Model” led by Assoc. Prof. Robin Kaarsgaard . The project aims at introducing new abstractions, models, and programming languages that radically change how we can reason about and
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advance next-generation biocatalytic processes both microbial and cell-free. PROSYS has a strong focus on combining experimental research and modelling tools to design sustainable and scalable bioprocesses
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typologies for hot and humid climate is scarce. This issue arises from the complexity of modeling these factors, which requires a co-simulation approach and validation of these. PhD position will focus