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€ (including prorated additional payments) Where to apply Website https://portal.sede.uva.es/detalle-tablon/3e35f596-9e56-4ec1-9c5d-187a1a77987c Requirements Research FieldTechnology » Telecommunications
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opportunities. Flexible working arrangements, including the possibility of partial remote work. Responsibilities: Design and implement machine learning and AI models for the early identification and prediction
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disorders. Its research combines primary human and mouse muscle stem cells, CRISPR-based genome editing, non-viral delivery of nucleic acid therapeutics, human and mouse disease models, and single-cell
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into CAD models, drawings, prototypes, test setups, validated assemblies and production-ready designs. The candidate will work closely with software, control, electronics, systems, manufacturing and testing
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this change originates from? To tackle these questions, the selected candidates will combine cutting-edge models of ageing and cancer with targeted circadian rhythm disruption and circadian-omics to reveal the
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verification, electrical characterisation, thermal profiling, efficiency mapping, EMC pre-compliance checks and fault-injection testing. Set up laboratory test benches, design test fixtures and implement
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governing calls for applications of research staff to cover contractual positions assigned to research projects, available at the following website address: https://s.ua.es/es/nlJx , approved by the Governing
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of Prof. David Clifton (https://eng.ox.ac.uk/people/david-clifton ). Research will be undertaken in collaboration with clinical colleagues in the Oxford University Hospitals NHS Foundation Trust and other
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also pursues five key scientific research directions: brain-computer interfaces and intelligent systems; brain decoding and primate models; medical devices and medical equipment; intelligent medicine and