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of trees using AI methods on acoustic signals All details here: https://www.eu4greenfielddata.eu/content/download/201/2097?version=3 Context: Abiotic stresses (e.g. frost, drought, wind) cause significant
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website: www.tpjstudy.ie Using a longitudinal mixed methods study design comprising surveys (3 waves) and semi-structured interviews (one-to-one and focus group), TPJ explores the experiences of teachers
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-immunogenic forms. Initially, the project will remodel rAAV glycans using in vitro methods. Once the immunological benefit of rAAV glycoengineering is established, the project will continue with genetically
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institutions, organisations, or communities connected to international law. Applicants might: Use, or be interested in learning, ethnographic or qualitative methods • Explore how care is practised, experienced
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operations. The PhD will develop and implement artificial intelligence and data-driven methods for early anomaly detection, root cause diagnosis, and failure prediction on industrial systems, leveraging
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level courses (including courses on research methods). Moreover, our PhD students are supported to attend high-quality international workshops and summer schools. PhD students are expected to collaborate
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competitive robotic behaviours Data-driven and learning-based control methods Embodied intelligence, where perception, control, and physical interaction are tightly coupled The successful candidate will work
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towards ensuring a balance between (i) retaining open data as an enabler of digital transformation, and (ii) strategic autonomy. The PhD candidate will apply a mixed-methods approach, drawing inspiration
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Centre for Synthesis & Chemical Biology, University College Dublin | Dublin Bar, Leinster | Ireland | 20 days ago
methods, and sustainable resource use. Students with an interest in some or all of these topics are encouraged to apply by sending a CV and cover letter with two references to peter.byrne@ucd.ie
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these effects vary across communities? The successful candidate will be integrated into a PhD project that develops an innovative mixed methods approach to the study of far-right mobilization and community