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viewpoints, and the use of disguises. This interdisciplinary PhD offers an exciting opportunity to help modernise eyewitness identification by combining cognitive psychology, immersive technology, and
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on molecular methods, which represent a more reliable alternative tools for a correct species identification. The use of molecular markers, such as mitochondrial genes, ribosomal genes, or microsatellites, will
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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 17 Feb 2026 - 17:00 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Is the job funded
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research expertise in integrating NLP, speech, and software components into a secure, end-to-end signal translation system for our industry partner, ensuring project continuity, system reliability, and
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opportunities to revisit how constitutive models are built and identified. While datadriven approaches have shown great promise, their reliability for complex material behavior strongly depends on the integration
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have not produced demonstrable improvements in outcomes for women and girls, and that significant evidence gaps remain. There is currently no UK-wide taxonomy of emerging-tech stalking, no reliable
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description languages such as HLS or VHDL are an advantage). Motivation to pursue a PhD and contribute to applied AI research. Excellent English skills. Where to apply Website https://jobs.uni-siegen.de/job
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» Knowledge engineering Engineering » Aerospace engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 30 Jun 2026 - 00:00 (Europe/Lisbon) Type
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Externally Funded PhD with Crystal Palace FC Department Graduate School Location Other Post Type Full Time Closing Date Monday 02 February 2026 Reference EHPHD01-26 We’re here to create and harness
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop