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Field
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) PhD (or foreign equivalent) in Bioengineering, Genetics, Genomics, Biomedical Engineering, Analytical Chemistry
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the use of artificial intelligence to design new materials will be appreciated, particularly in the context of optimizing electrode and electrolyte properties for electrochemical devices. The LIMSET is
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activities to share knowledge and contribute to the academic mission of the institution, up to no more than 20% of working hours. Skills in utilizing artificial intelligence for materials design will be highly
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learning/artificial intelligence (ML/AI) techniques that incorporate uncertainty into visualizations, enhancing the efficiency and reliability of scientific discovery. It also offers exciting prospects
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position is time-limited to 3 years and connected to the research activities on the topic of the role of Artificial Intelligence (AI) for firm innovation. A diverse set of factors will be analysed within
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, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights into these complex interactions. As part of this position, you will have the opportunity
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how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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Studies, there is a vacancy for a postdoctoral research fellow position within Intelligent Information Systems and/or Media Studies. The position is associated with artificial intelligence research in
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artificial intelligence research in the department's research groups and is funded by the Faculty of Social Sciences. The position is for three years. The position is open to an incoming candidate (researchers