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beta-oxidation defects using in vivo models. We welcome applications from DCs of any nationality, gender, culture, religion, sexual orientation or age to undertake a PhD, fulfilling the following
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sustainability. We use advanced modelling and experimental tools at various scales (laboratory, pilot plant and real scale) to develop and validate new technologies and their applications. We work with a wide
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𝗜𝗯𝗲𝗿𝘂𝘀 𝗜𝗻𝘁𝗲𝗿𝗱𝗼𝗰 program is looking for researchers to develop the doctoral thesis "Plant protein production in the Mediterranean area to mitigate climate change: a large-scale modelling approach
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and engineer sequence-activity genome-wide. The project will focus on using model systems and aim to produce complete maps of how mutations affect fitness and how these mutations interact within and
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the following research problems in their PhD theses: 1) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning
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entire development process of metallic alloys, from thermodynamic simulation-based design to powder processing, advanced manufacturing, and microstructural, mechanical, and corrosion characterization
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. The recruit will focus their work on one or more of the following sub-lines of work: low-resolution algorithms, model optimization with HPC techniques, edge computing, quantum computing, energy-efficient
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availability. Expertise in methodological approaches to develop empirical and mechanistic models. Advanced user of Statistical analysis software. Languages: Proficiency in Catalan and Spanish. Proficiency in
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be trained in state-of-the-art techniques in 2D materials heterostructure engineering including the fabrication of moiré quantum matter. Using this exceptional quantum simulator, the researcher will