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will contribute to our ability to understand and predict this critical component of ecosystem function. You will work within group spanning ecological science, engineering, and computer science methods
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critical component analysis, and (iii) development of Automation of ML model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed
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of the respective movement that includes a transnational component. While European case studies will be considered, preference will be given to cases of non-European fascist movements. Working knowledge
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capacity to funding mechanisms and equity considerations. With Ireland's healthcare system as the primary context, the successful candidate will employ mixed research methods to investigate current
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. More specifically, we work to understand the mechanisms of (mal)adaptive plasticity and develop new treatment approaches for different neurological conditions (pain, tinnitus, Parkinson's disease
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/molecular interactions between stromal-innate immune cells involved in shaping the pro-inflammatory response in the joint. This will give significant insight into the (i) differential pathogenic mechanisms
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nanomaterials. This will be achieved by developing and codifying DES-based routes to key classes of environmentally relevant nanomaterials, including (photo)electrocatalytic metal oxides; phosphate-based
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understanding the risk mechanisms that underlie the differing profiles (and course) of depression to inform more targeted approaches to prevention and treatment efforts. Emerging evidence suggests that weaknesses