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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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thermal, structural, electrical, and mechanical properties. The researcher will also design and execute statistically rigorous experiments, develop publications and reports, and collaborate with internal
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of the devices, and designing and executing time-resolved X-ray experiments with MEMS-based X-ray optics. We are seeking highly motivated candidates to drive the project in an independent manner while interacting
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to recruit an ambitious early career researcher with strong experience in innovative qualitative methods, a commitment to academic rigour, and a passion for driving public impact. This role offers a unique
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will play a central role in the conduct of clinical trials and human laboratory studies designed to evaluate the efficacy of candidate treatments for alcohol use disorder, tobacco use disorder, and
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tasks and manage time effectively. Desirable Criteria Experience co-designing research with young people or involving people with lived experience in research. Experience in the design and analysis
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-sensitive catalyst materials Experience with the design and construction of batch and flow reactors for catalysis Proficiency with analytical techniques such as X-ray absorption spectroscopy, nuclear magnetic
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demonstrate strong experimental skills or a background in modelling and analysis of molecular computation. Prior experience with DNA strand design or molecular computing is desirable. You should be able to plan
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management experience. They are expected to have excellent verbal and written communication skills in both Chinese (with proficiency in Cantonese and Putonghua) and English. They should have good interpersonal
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
and Environmental Engineering at the University of New Hampshire. The successful candidate will be responsible for developing and coding workflow processes and designing experiments for multisensory data