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consequences, and designing strategies to test them experimentally. Your profile A doctoral degree in Physics awarded no more than three years prior to the application deadline*. A strong background in particle
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sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models that unlock
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soft, substrate-free, conducting materials directly in living tissues. This work focuses on advancing the understanding of polymerization kinetics, expanding the enzyme repertoire, and designing custom
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with the project, and describe your research plan that fits one of the main questions. Curriculum vitae (CV) with publication list. In the publication list, provide a co-author contribution for a
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, electrification of heat, and energy storage are deemed. We aim to design and prototype different technologies, including low and high temperature thermal energy storage and integrated systems. The postdoc will
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. Eran Elhaik to design machine-learning models that unlock the potential of genomics for forensic investigations and historical reconstructions. Work duties We aim to develop machine learning methods
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. The main criterion for a postdoctoral fellowship is research expertise. Only applicants whose research plan and earlier work can strengthen the research environment will be considered for employment as a
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in solid-state batteries and guide the design of more durable electrode architectures for high-performance energy storage. Work duties The main duties involved in a post-doctoral position is to conduct
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edge research in materials design, processing, and advanced characterization. We promote interdisciplinary collaboration and sustainability focused research, with strong ties to both academic and
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one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and