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fundamental research in physics-informed and symmetry-aware machine learning for nonadiabatic excited-state molecular dynamics. Develop and evaluate equivariant graph neural networks and related architectures
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Epidemiology of Malaria), led by Aimee Taylor. Using simulation-based inference (SBI) with deep learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum
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models, whilst respecting the specific spatial structure induced by river networks. - Cleaning, structuring and analysing historical long-term monitoring data (approx. 200 sites). - Adaptation and
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and interpret the reproduction of space in contemporary favelas, considering its interrelationship with urban economies. The post-doctoral fellow assigned to the “Technical Networks and the
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for all full-time staff. Detailed Description Decarbonising heat is one of the most critical challenges in the transition to net zero. The Sustainable Open-loop Large-scale Interseasonal Thermochemical Heat
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mechanisms. Elucidating Cellular Networks: Linking sensory phenotypes with the molecular and biological functions of GPCRs. Nurturing Young Talent: Supervising and training chemistry and food chemistry
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and subjective listening tests. Your network and team You will be supervised by Assistant Professor Lauri Juvela, who leads the Speech Synthesis research group at Aalto University. The group works on
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and multicultural research environment with high professionalism and close collaboration and networking activities A workplace characterized by equality and a good work-life balance, and an open
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clinical partnerships. You will gain experience of research coordination, intensive patient and public involvement work, and strategic network building. You will contribute to the REPhRAME team’s
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on next-generation communication and sensing technologies for enhancing safety and performance in intelligent networked systems. The appointee is expected to make significant contributions