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finite element modeling as the foundation of a comprehensive design framework that integrates simulation, experimentation, and machine learning. Fall-related injuries are a leading cause of morbidity and
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comprehensive design framework that integrates simulation, experimentation, and machine learning. Fall-related injuries are a leading cause of morbidity and mortality in aging populations, making this work a
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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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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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. 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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of research? Find more reasons why Lund University and the HT Faculties is right for you here , and learn more about Working in Lund , Moving to Lund and Living in Lund . QualificationsQualification
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empirical and computational models to understand social learning. You will have the opportunity to develop your own research ideas under supervision. Your responsibilities include designing and conducting
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environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based traversability-aware path planning and safe trajectory generation - Resilient mission design for
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under various electrochemical conditions. The outcomes will provide fundamental insights into degradation pathways in solid-state batteries and guide the design of more durable electrode architectures
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engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from