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patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models
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to the development of methodologies for modelling, predicting, and validating dynamic interactions through numerical simulations and field measurements. This project is funded by The Swedish Transport Administration
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provide essential insights into development and disease. The postdoctoral researcher will have the opportunity to: Explore how “reader” proteins determine RNA fates. Apply mathematical models from
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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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mathematics as a major: Applied Mathematics program (bachelor's program), Mathematics and Modelling (master's program), and a Master of Science program in Engineering Mathematics. In addition to these programs
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programme Reference Number 304--1-14193 Is the Job related to staff position within a Research Infrastructure? No Offer Description This postdoctoral position focuses on securing large-scale distributed AI
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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This postdoctoral position focuses on securing large-scale distributed AI systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess
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ecosystem functioning. The postdoctoral project will focus on analyzing and modeling tree architecture in relation to forest vitality and stress predisposition. The work will combine 3D structural data (from
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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