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contribute to the development and validation of computationally efficient motor-twin models for permanent magnet synchronous machines. The work will focus on machine modelling, parameter and state estimation
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relation to specific forms of genomic instability and childhood cancer development. You will work closely with internal and external collaborators to develop laboratory protocols to produce ultra-long reads
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for industrial high temperature heat pumps heat exchangers that will consider modern manufacturing methods. This will include the development of multilayer coatings including bonding methods that are able
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to provide a more representative view of the physical infrastructure and contribute to the development of large-scale digital twins for water distribution systems. This is a 36-month full-time position
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at and hosted by Aalto University, Finland, with the main supervisor Jaan Praks, co-hosted by the FMI with the E-sail researcher Dr. Petri Toivanen. Research field: Space technology, payload development
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predictions of river flow direction and connectivity. You will lead the development of scalable and reproducible data and machine-learning pipelines, upgrade the GRIT global hydrography, and design and evaluate
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of the project “Human Capital, the Organization of Production and Economic Development” funded by an ERC/UKRI Starting Grant 2023. The project will leverage micro-level data from multiple countries and novel
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). The overall aim of the work programme is to undertake cutting-edge multidisciplinary research and development to make a step change in the understanding of Industrial High Temperature Heat Pump technology. The
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behavioural data, and generating original ideas by building on existing concepts in reading, attention, brain oscillations, developmental cognitive neuroscience and atypical reading development. You will
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near completion) in Psychology, Education or in a cognate social science or related discipline and will have relevant experience of family psychology, child-adolescent development research, advanced