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mortality in aging populations, making this work a critical public health priority. The successful candidate will work in a collaborative environment that bridges academic research and industry application
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comprehensive design framework that integrates simulation, experimentation, and machine learning. Fall-related injuries are a leading cause of morbidity and mortality in aging populations, making this work a
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researchers, are top-ranked internationally. Work description The employment mainly comprises research in the intersection of Generative AI and software engineering, within the scope of the research project
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interact with to facilitate the research process and increase the synergetic effects. You will also have the opportunity to meet other KIRI postdocs, present your work at scientific events, and take part in
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publish them in highly-ranked conference proceedings and journals in the areas of, e.g., AI/machine learning, software engineering, high-performance computing and/or other areas of interest. To the extent
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proteins implicated in diseases associated with their aggregation and fibril formation. These systems are characterized using both purified and complex samples. The work is focussed on the development of a
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++, ROS, Matlab, etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life operating conditions, in an approach to close the gap between pure theory and
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at understanding the mechanisms underlying context-dependent human social learning of affective responses and social values. In this role, you will work at the forefront of research, developing new
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systems, or network analysis. Experience with methods for causal inference, or modelling of biological systems is also considered a merit, along with prior work involving large-scale sequencing data such as
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. The position aims to investigate the fundamental physical and chemical processes underlying the thermal-chemical conversion of green fuels, using advanced high-performance computational methods. The research