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approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data for machine learning models to optimise membrane
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. About the project The current project is aiming at developing novel human models for childhood dementia CLN3 to recapitulate disease progression and explore novel promising gene therapy strategies
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around three core scientific pillars—regenerative medicine, biomaterial science, and translational research models—SHIELD supports research on therapeutic strategies, novel antimicrobial materials, and
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and range shifts from mountains worldwide Participate in the development and adaptation of statistical models for analyzing the relationship between species distributions and climate Collaborate closely
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the development and adaptation of statistical models for analyzing the relationship between species distributions and climate Collaborate closely with other researchers, including other PhD students in connected
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on childhood dementia CLN3, as part of ongoing research in the Bjørås group . About the project The current project is aiming at developing novel human models for childhood dementia CLN3 to recapitulate disease
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Hardware-in-the-loop testing) and control-in-the-loop testing will be an advantage. Experience with stability studies based on state-state modeling of power systems will be merited. Personal characteristics
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. Its primary objectives are to: Improve understanding of intra-Draupne sandbodies to support more reliable reservoir modelling. Characterize reservoirs and seals. Develop innovative exploration
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expertise in nonlinear model predictive control. Expertise in numerical optimal control. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work independently
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model predictive control. Expertise in numerical optimal control. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work independently and in a structured