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for such purposes in a wide spectrum of industries, with significant breakthroughs in computer vision, natural language processing, and intelligent control. This PhD project aims to develop foundation models (FMs
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evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
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Education: Advanced degree (PhD) in analytical chemistry, environmental sciences, or a related field, or equivalent professional experience. Technical expertise: Demonstrated experience with modern analytical
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, the aforementioned systemic changes and regulations demand an in-depth investigation using advanced modeling tools and techniques. The objectives of this PhD research project are to: Assess the impact of the balancing
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organisations and their stakeholders. The current PhD position offers an exciting opportunity to work with two centres within the Chair on managerially-relevant applied research: The Mobiliar Lab for Analytics
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towards generalizable principles across content areas and issues of societal relevance. The group is looking for a PhD student to contribute to ongoing research on educational approaches to misinformation
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. For this research project in partnership with the Federal University of São Carlos (Brazil), we are looking for a: PhD candidate (100%) starting in April 2026 or upon agreement. Growing concerns about the
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interest in data-intensive systems. You bring a solid foundation in software or data engineering, typically developed through a Master’s degree or higher (e.g. PhD) in Computer Science or a related field, or
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datasets The position is limited to two years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep
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years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep-learning models on distributed systems