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ecological and evolutionary questions. The candidate is expected to take part in developing specific projects based on interest and experience. The PhD student will be supervised by José Cerca (DDLS Fellow
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your application! The research group of Antonio Lentini is looking for a PhD student in Medical Science focusing on development of tools to understand tumour evolutionary trajectories. Your work
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drive the energy metabolism of our cells, the evolutionary processes that led to the emergence of these complex biological systems, and how disease-related mutations alter protein function. This position
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for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm development. Basic familiarity with experimental
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integrating advanced tools to analyse large datasets on species, their evolutionary histories, and the environments they live in, the project aims to uncover the processes that shape bioregions and identify
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. Chloroplasts and mitochondria evolved from free-living prokaryotic organisms through independent endosymbiotic events, retaining their own genomes despite significant evolutionary changes. Over time, these
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and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our
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of quantum processors Design and simulation of quantum processors Optimal-control techniques for high-fidelity qubit operation Quantum algorithm implementation and benchmarking About you You have a relevant
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computer networking; experience with algorithms for categorisation within large data sets. Some familiarity with concepts and methods from life cycle assessment, and propensity to contribute to simple
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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System