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of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models for latent variables and their connections to modern
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. The successful candidate will work in an interdisciplinary research environment and will have the opportunity to develop expertise in a broad range of experimental and analytical approaches. National doctoral
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
The project will develop ultrafast optical logic and memory concepts using spatiotemporal metamaterials. The doctoral candidate will design metamaterial structures coupled to quantum emitters for ultrafast
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to seconds. This will reveal how these proteins work at the molecular level and provide insight into mechanisms that are central to membrane protein function. A key part of the project will also be to develop
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theoretical skills will be developed, and a 3-month industrial secondment at Ultrafast Innovations GmbH in Germany. The doctoral project will be carried out at Umeå University under the supervision of Associate
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on the development and implementation of approaches for functional validation of regulatory elements in conifer systems. The work will bridge large-scale regulatory genomics with experimental molecular biology to
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to the development of next-generation approaches for marine environmental assessment and sustainability, working at the interface of environmental systems science, marine technology, and data-driven research within
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: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous
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science with a focus on bioinformatics. We offer an international, stimulating, and collaborative research environment where your scientific career development is promoted. The project aims to track strain
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intelligent built environments, and analysis of behavioral and physiological data. The work also includes the development of personas, the use of LLM‑enhanced decision narratives, and agent-based social