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Field
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, as part of a wider project, to conduct research on: Signal processing combined with AI-based modification on speech signals. The need is for a real-time system, so efficient coding is important. Key
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propagation and system robustness. Develop, maintain, and document research codes and computational workflows supporting the project. Prepare research findings for publication in high-quality international
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or blockchain coding would be advantageous. This position offers an excellent opportunity to undertake interdisciplinary research at the intersection of emerging digital technologies and business applications
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genetic code expansion and click chemistry, alongside biochemical, biophysical and cell biological techniques to study insulin behaviour in physiologically relevant systems. The postholder will work closely
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interdisciplinary social science research on communication behaviors, including exploring how AI-assisted coding and analysis can reduce research barriers and expand research capacity for scholars. Position
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colleagues and industry executives. Experience of AI or blockchain coding would be advantageous. This position offers an excellent opportunity to undertake interdisciplinary research at the intersection
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of Vacancy Number ST2600226 Job Title Economics Teaching, Research, and Programming Assistant Job Category Regular Student Job Job Type Regular Student Jobs Position Class Code 82100 - Student - Unrestricted
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opportunities as part of your role in a strong professional environment Salary NOK 690 000 (code 1352) in the state salary scale. (Applicants with specialist training must include a certificate of specialist
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position as a PhD Research Fellow (position code 1017) is available as part of the project (HARZOTROPH) “Denying Harm? Neocolonial Conservation through Trophy Hunting and Zoos”, funded by the Research
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; investigate climatic, topographic and land-use drivers of willow expansion; develop spatially explicit projections of future vegetation change; manage and document research data and code according to FAIR data