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REQUIREMENTS: A Master’s degree in Biology, Biomedical Imaging, Physics, or a related discipline A strong interest in in vivo imaging, cell tracking, functional cell analysis, and data interpretation Previous
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); dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and research data; a comprehensive
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climate information directly to farmers By bridging the gap between complex climate data and practical agricultural applications, this research will contribute to enhancing farm resilience and
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models. The scientist will conduct research using machine learning and classical parameterization methods on data from ocean gliders equipped with microstructure turbulence sensors, turbulence resolving
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will apply single-molecule microscopy and spectroscopy techniques to obtain information about the degree of order of OLED materials at the nanoscale in thin films, as well as how such order / disorder
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dysfunction Data collection, analysis, and interpretation using cutting-edge imaging and computational tools Presenting research findings at conferences, lab meetings, and through publications in high-impact
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theory approaches. Collaborations with UBC offer an international environment with opportunities for extended research stays in Vancouver, Canada. For specific projects and further information see www.rtg
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and
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fully equipped department using high resolution live cell imaging techniques and image data analysis as well as atomic force microscopy combined with biochemical and molecular technologies. We foster
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, flexibility, good self-organization and team working abilities Ability to analyse and critically reflect scientific data Determination, creativity, profound knowledge and resilience to successfully complete