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for children. Requirements: PhD in Developmental Psychology, Education, Child Development, Learning Sciences, or a related field. Strong knowledge of developmental science and experience conducting systematic
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Engineering, Materials Science, Chemistry, or a related discipline. Strong knowledge of heterogeneous catalysis, catalyst synthesis, and catalyst characterization. Experience in catalyst scale-up, formulation
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. • Knowledge of UAV communication systems and embedded AI. • Experience with simulation environments such as Gazebo, AirSim, Isaac Sim, or MATLAB/Simulink. • Experience in optimization
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: 21st September 2026 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research
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- the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo invites applications for a doctoral research fellow in Machine Learning and Statistics. We seek a motivated researcher, who
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-cognition, exposome and neuroimaging data. Under the supervision of Professor Agustín Ibáñez, the Fellow will contribute to harmonisation international datasets and developing multimodal statistical and
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: that failures carry rich, transferable lessons, knowledge useful to others beyond those who failed. This PhD project investigates failure in digital ventures: how and why digital startups stagnate and shut down
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progression, and there is an urgent need to fill the knowledge gap in our basic understanding of the diseases that cause it. The UK Dementia Research Institute (UK DRI) is the biggest UK initiative driving
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progression, and there is an urgent need to fill the knowledge gap in our basic understanding of the diseases that cause it. The UK Dementia Research Institute (UK DRI) is the biggest UK initiative driving
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/graduate students as an active member of the lab. Provide research summaries and reports monthly, help to write manuscripts, and meet regularly with PI to complete lab project goals. Required Knowledge