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is interested in understanding the neural and algorithmic basis of sensory-guided behaviors in terrestrial animals. We have developed behavioral tasks in mice using stimuli and situations
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collaborators, for a project focused on the development of a large external research grant application titled Gen(d)erations: Past stories, present perspectives and future approaches for trans and non-binary
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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(NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in
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to stressors in fish. The aim will be to integrate technology to develop the knowledge base for understanding stress resilience behaviours in Asian Seabass in farm conditions using laboratory model zebrafish and
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Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcomes Measurement) Optimizing the performance of health
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among Europe's leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be
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members of the research team to meet the overall aims of a work package which is focused on developing and implementing a knowledge and evaluation framework. They will assist with leading on key tasks in
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technology during recruitment. Towards the end of the trial the postholder will use surveys and interviews with staff to develop an implementation plan using Normalisation Process Theory (NPT). The Research
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-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation