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, with a specific focus on French linguistics, Frenchin the Francophone world and language acquisition. Pursue your PhD in an inspiring international research environment while also teaching engaging
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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components from scratch. The scarcity of resources and extreme conditions on the red planet serve as a setting to develop a new paradigm of sustainability that will lay the foundations for a fossil-fuel-free
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existing models struggle to capture this complex, multiscale phenomenon efficiently. This project will develop a novel, physics-informed surrogate model using Bayesian machine learning to predict gas
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future energy applications. Rather than simply implementing existing data space reference architectures, you will develop novel methods, architectural patterns, and engineering approaches that enable
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on profile). • Process, clean, and analyse large-scale epidemiological, genomic, and/or mobility datasets. • Develop data visualisation tools and contribute to interactive surveillance dashboards. • Support
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are the same. You will have the opportunity to share your ideas, develop yourself professionally, and acquire new skills. Innovation and collaboration are at the heart of our work. You will be part of
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such as movement, interaction, and eye-tracking can be used to study this process. Specific research objectives Develop VR-based experimental tasks to study how people learn and update spatial
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without invasive surgery. Project background We develop advanced focused ultrasound technologies, adaptive closed-loop control algorithms, and ultrasound-responsive micro/nano therapeutic carriers as an
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(e.g. electrodes) with minimal performance losses. Life cycle analyses can also be used to develop processes that enable the most energy-efficient separation and recovery of the individual cell materials