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methods and examine challenges concerning both private and public sectors. It is our objective to become a world class leader in excellent research and high-quality teaching. We further strive to provide
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political objectives, which is further complicated by the development of new technologies and societal demands for sustainability. Within this context, the PhD application should reflect an independently
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exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous agents, to perceive and interpret their environment and support timely physical action. A central objective will
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and other organisations. You are at ease in a setting where you contribute to both scientific objectives and applied outcomes and where your work can have impact on how circular plastics systems
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of cloud-based recalibration, edge AI systems must become "self-aware" and capable of autonomous evolution. Core Research Objectives. The primary objective of this PhD is to develop a high-performance, low
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, or higher education) Experience with developing immersive technologies (e.g., XR/VR/AR) and/or doing multimodal data analysis (e.g., eye-tracking, gesture tracking, interaction analysis). You can Write
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PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
systems that reveal possible endocrine disrupting effects of chemicals in model organisms, for example, fish and invertebrates. Research project: The objective of the project is to investigate and pre
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experimental data. • Proficiency in scientific programming and data analysis tools (e.g., Python, R, Linux/Unix environments). • Demonstrated track record of publishing scientific results in peer-reviewed
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/or internationalization theory with insights from economics, sociology, psychology, and economic geography. The department has 45 faculty members (professors, associate professors, tenure track
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. Specific research objectives may include: Identifying genetic variants and genes associated with early cardiometabolic dysfunction. Integrating GWAS, transcriptomic, epigenomic, and single-cell datasets