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of MSI advances our understanding of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as
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the development and use of complex model systems that enable the study of biological functions at the multicellular, cellular, and molecular levels under conditions resembling the body’s tissues or organs. This 6
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Project description Third-cycle subject: Medical Technology (Joint KTH-KI program) In
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National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and create strong and globally
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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description Microorganisms drive biogeochemical cycles and underpin food webs making them essential for the health and functioning of marine ecosystems. At the Baltic Sea Centre at Stockholm University research
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phylogenetic analysis over traditional Bayesian methods, and this capacity for improvements will have substantially more impact on the more complex MSC model. The project will develop an efficient framework
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teaching expertise, the primary focus will be on teaching quality. The scope of teaching experience, in terms of both breadth and depth, will be considered. The ability to plan, initiate, lead, and develop
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collaborative project at the division of Biophysics, Department of Applied Physics, KTH. The goal of the project is to use microscale acoustofluidic technology for the formation, development and analysis of 3D
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areas, such as scientific and educational development, leadership development as well as patent and innovation support. The position is part of the SciLifeLab Fellows program and will be placed within