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role in enabling this transition, while also introducing new challenges related to system dynamics, stability, and control. This project focuses on the development of modeling, stability analysis
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models for intelligent environments. The primary area of research involves developing AI models that can learn to represent real-world phenomena based on various types of observations, including video
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Join ABC Labs and KTH as an Industrial PhD Student to build data-driven models of human biology with multimodal health data — interdisciplinary impact, real-world healthcare. About the role We
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spectroscopy (XANES, EXAFS, and others) at synchrotron facilities such as MAXIV with theoretical molecular modeling of the corresponding systems. The work will be carried out in the Molecular Geochemistry
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things, combine time-resolved and multimodal X-ray absorption spectroscopy (XANES, EXAFS, and others) at synchrotron facilities such as MAXIV with theoretical molecular modeling of the corresponding
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). Description of PhD Project The work will include theoretical and experimental modeling of the response of magnetic nanoparticles in a magnetic field. In addition, mechanisms for potential therapeutic effects
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, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid academic background with thorough computational and analytical understanding; Proficiency in programming in Python
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-resolved and multimodal X-ray absorption spectroscopy (XANES, EXAFS, and others) at synchrotron facilities such as MAXIV with theoretical molecular modeling of the corresponding systems. The work will be
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. The primary objective of this PhD project is to develop adaptive statistical models for marked spatial and spatio-temporal point processes. Many real-world systems exhibit substantial spatial heterogeneity and
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described. The project has three main objectives: (1) Use simulation models to make inferences on the role of sex ratio selection on sex chromosome evolution in a different meiotic drive scenarios, (2