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at Aalborg University. The group addresses a broad range of decision-making problems in real-world settings, alongside the development of relevant methodologies. Research is conducted in close collaboration
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for promising and talented researchers from around the world. The position is a career development position. We will work together with you to develop your research talent through supervision, professional
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potential for recovery, remain poorly understood, limiting the development of sustainable and durable energy storage systems. In this project, you will help establish a new paradigm for batteries based
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will investigate how technical AI systems can support learning and interaction among students in collaborative educational settings. A specific focus will be the co-design, development, and evaluation
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the development of high-performance indoor environments and energy performance in our future buildings, and advancing the transition towards more sustainable construction sites. We are seeking a candidate with
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contribute to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and
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interdisciplinary project funded by the Danish Energy Technology Development and Demonstration Programme (EUDP) and has a strong focus towards commercialization the resulting battery. Your competencies Appointment as
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patterns representing health incidents and the development of privacy-preserving methods for visualizing health data. What you will gain: Strong expertise in statistical and computational methods for privacy
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. Possible research directions include the generation of synthetic spatial point patterns representing health incidents and the development of privacy-preserving methods for visualizing health data. What you
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, host–immune interactions, immunotherapy, cancer vaccines, STING signalling, vaccine development), and/or Medical Microbiology (e.g., microbial pathogenesis, infectious diseases, virus research