14 neural-network Postdoctoral positions at Chalmers University of Technology in Sweden
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of managing reverse logistics for returned products, and the potential disruptions to existing distribution networks. About us and the research project The division of Supply & Operations Management (SOM
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, behavioral software engineering, and software engineering for automotive systems. About the research project This project explores how neural-symbolic approaches can enhance the trustworthiness of generative
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technology for achieving high-performance and energy efficiency. The task for this position focuses on the development of novel solutions in the topics of memory hierarchy and interconnection networking
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international network and the possibility to make a strong impact through your research. Project and role description The research focuses on combining information from different modalities (e.g., radio, radar
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considered. Application deadline: April 30th, 2025 For questions, please contact: Miquel Pericas, Computer Networks and Systems, miquelp@chalmers.se *** Chalmers declines to consider all offers of further
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engineering students within the area of bioengineering. It is furthermore collaborating in broad, interdisciplinary national and international networks within academia and the industry. The division of Food and
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are active members in the ALERT Geomaterials network and many international committees. Our international team with over 15 full-time researchers offers a great working environment to learn and develop. In
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This position creates an inclusive environment to closely work with an European network in developing methods and tools to solve FSI problems for floating offshore wind turbines. It also provides
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can have a profound impact. Due to the complexity of metabolic networks, computational models serve as powerful tools. This project focuses on developing microbial cell factories, with additional
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understanding as well as manipulating its function can have a profound impact. Due to the complexity of metabolic networks, computational models serve as powerful tools. This project focuses on developing