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requirement to have experience in standard synthesis, interpreting NMR spectra and LC-MS/MS fragmentation spectra to assess synthesized compound purity and composition, and to have experience with synthesis
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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
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qualifications You have a Master’s degree in electrical engineering, engineering physics, mechanical engineering, computer engineering, engineering mathematics or have completed courses with a minimum of 240
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240 higher education credits in Applied Mathematics, Applied Physics, Electrical Engineering, Mechanical Engineering, or a related field. A strong mathematical foundation and excellent academic
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. The project revolves around developing Traident – a new method to resolve the species origins and compositions of complex RNA sequence data. This will extend Kraken2 with analyses of ribosomal RNA and microRNA
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their properties including nutritional composition, bioavailability and bioaccessibility. The candidate needs to have a genuine interest in interdisciplinary research bridging between physico-chemical
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used in synergy with immunotherapy to achieve optimal immunity against lymphomas. The project also aims to uncover the mechanisms that drive resistance to immunotherapy, using methods such as spectral
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is spring 2025, or as otherwise agreed. Project description The research group where the candidate will work studies heteroresistance and its mechanisms with a focus on how variations in gene copy
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description Entanglement, an important manifestation of quantum mechanics, is considered crucial for quantum information technologies, but it is also fragile and challenging to maintain. The project aims
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Join us for a fully funded PhD position in theoretical machine learning to uncover how and why transformers work. Explore their inner mechanisms using information theory. As part of this project