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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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to work in collaboration across teams. Proficiency with excellent command of written and spoken English and Chinese is required. The appointees are expected to be involved in research projects pertaining
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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generation, batteries, as well as heavy metal removal from aqueous solutions. By designing well controlled model systems in combination with powerful analysis and characterization techniques, improved
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Nanotools is a research group based at Vall d’Hebron Hospital (Barcelona, Spain). Our aim is to develop and validate novel detection strategies with diagnostic purposes https://vhir.vallhebron.com/es
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Arabidopsis thaliana. The successful candidate will combine seed physiology, genetics, and transgenic approaches to dissect gene function and regulatory interactions controlling germination decisions
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for continuous and campaign-style recordings; perform time-series and spectral analyses. Integrate seismic signals with tides, water-level anomalies, and wave forcing; evaluate controls of sediment properties
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Description: The RevEl project aims to replace PTFE-based dry binders with fluorine-free nanocomposites that combine mechanical robustness during battery operation with controlled debonding-on-demand at end
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inputs Reconstitution on a fluid lipid membrane to dissect the molecular mechanisms governing these interactions Potential translation into a new material with controlled function Preferred (but not
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online via the University College Cork vacancy portal (https://ore.ucc.ie/). Queries relating to the online application process should be referred to recruitment@ucc.ie, quoting the job-title. Candidates