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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
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: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life
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) provides research and education, the Swedish Institute of Space Physics (IRF) focuses on space plasma research and instrument development, and EISCAT Scientific Association carries out radar observations
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. This project aims to address these challenges through the development of adaptive learning frameworks for non-stationary environments. In particular, we focus on continual learning, where models are updated as
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Referensnummer IFM-2026-00053 Work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction
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: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven
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simulation of time dependent non-linear PDEs has emerged as a key technology. A main task of this employment is the development and analysis of numerical methods for wave propagation problems. Particular focus
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forward to receiving your application! Your work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image
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integration of methodological development and practical applications. We maintain extensive collaborations with industrial partners as well as with leading research groups worldwide, providing doctoral students
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investigates the molecular mechanisms that govern plant development, with a particular focus on symmetry breaking processes in tomato flowers. Symmetry breaking is a fundamental biological phenomenon in which