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transforms the theoretical into actionable, and the science into the social, applying our knowledge to eliminate health disparities and impact lives for the better. Job Summary The Prevention Research
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families understand, narrate, and manage inherited cardiac risk, which can have a significant impact on their quality of life and disease outcomes. Using qualitative/mixed methods, we will examine how
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beam (FIB) imaging - can be combined with AI to reconstruct nanoscale chip structures and infer functional behaviour from physical layouts. The project addresses the challenge of extracting reliable
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-impact techniques and technologies. The research topic foresees an innovative scenario in which the candidate will investigate methods for sensing applications based on the integration of microcircuits and
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learning and data science professional who wants to make a real-world impact? Do you have a specialisation in machine learning and affinity with project management? Do you want to apply advanced AI solutions
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will consider the impacts of stressors to marine systems, such as climate change impacts, eutrophication, hypoxia, aquaculture, fishery, offshore platforms, invasive species and pollution and are often
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Help shape better decisions for adaptive reuse of buildings across Europe. Develop strategies that balance environmental impact, costs, technical performance and circularity. Job description
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documents: a) Copy of certificate or diploma degree. b) Detailed curriculum vitae structured in accordance with point 9. c) Motivation letter. d) Letters of recommendation. e) Copy of the 3 most relevant
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. Electrical characterisation of microscale or nanoscale devices. Probe-station measurements or electrical testing of microfabricated structures. High-bandwidth transient or pulsed-signal measurements. RF probes
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, Neuropsychology, or Behavior Analysis. The fellows will spend about 70% of their time in clinical services and will have opportunities for research and structured educational activities.Fellows who choose the