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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable
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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
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, microbiology or mycology. Familiarity with mycology and the Nordic forest ecosystems is desired. Previous experience with ecology, molecular biology work, bioinformatic and nature conservation are meritorious
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introduces new and underexplored vulnerabilities to network-based threats. The goal of this research is to uncover such threats, evaluate their impact on training performance and model integrity, and develop
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, within the subject of the position, e.g. within genetics, genomics, evolutionary biology using bioinformatical approaches or within molecular biology addressing evolutionary questions. While there are no
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Computational Arts, Music, and Games within the DSAI division. About the research project This position is related to investigating learned cultural representations in data search spaces of generative AI models
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the human gut microbiome are poorly characterized at their molecular level, despite their important roles to keep a healthy state. The presence of pathogenic species or imbalances in the composition
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for Sustainable Housing and buildings”, you will: Develop an ontology of regenerative building production by analyzing how regeneration affects on-site praxis, economic structures, and business models and
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
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the interactions of trees with fungi and fungal-like (oomycete) organisms, including host symbioses and tree defense mechanisms. We conduct molecular diagnostics and host-chemical analyses to better