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dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
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and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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information about this DC position, please contact the scientist-in-charge/supervisor: Ola Rolfson, Professor/ Chief Physician, Institute of Clinical Sciences e-mail: ola.rolfson@gu.se Some background material
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the national infrastructure network SciLifeLab for Cryo-EM and cellular volume imaging, providing “state of the art” technology access for this project. Cryo electron microscopy (cryo-EM) methods provide
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SciLifeLab for Cryo-EM and cellular volume imaging, providing “state of the art” technology access for this project. Cryo electron microscopy (cryo-EM) methods provide possibilities to visualize
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-studies/. Background and description of tasks PhD project 1: The PhD project involves research using invertebrate model systems to investigate the mechanisms by which potential host genome editing processes
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and survival in host cells. Through a combination of microbiology, imaging, molecular biology, and translational modelling, the PhD student will generate data to support the design of biofilm-resistant
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of Informatics (Faculty of Social Sciences), which contributes perspectives on human-computer interaction, information systems, digital practices, and socio-technical change, with a focus on how digital
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD