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research studies, data management, model development, executing experiments, and evaluating chip packaging techniques. Performs hands-on processes in chip fabrication, packaging, metrology, and
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PhD Scholarship Develop AI and machine learning models to guide real-time, personalised treatment of paediatric brain cancer using multiomics and clinical data, within the internationally
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high-performance applications. The project brings together materials science, powder technology, additive manufacturing, and data science. Silicon carbide is widely used in demanding thermal, structural
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at [email protected] for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 2 October 2026. Apply Now
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, please contact the NRC Hiring team using the contact information below. Discover the possible Anything is possible at the NRC, named in 2026 one of Canada’s Top Employers for Young People, Top Employer in
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Statistical methods are leveraged in many scientific applications to: specify a data collection practice (experimental design), draw conclusions from sparse and noisy data (inference), and assess
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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liquid biomarkers for leukodystrophies by integrating multi-omics data from patient plasma and iPSC-derived human disease models. You will investigate disease-related molecular signatures using
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, additive manufacturing, and data science. Silicon carbide is widely used in demanding thermal, structural, and electronic applications, yet its production is energy-intensive and relies on global supply
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, analyze and interpret data. Present results at group meetings and scientific platforms, and contribute to manuscript writing. Take the required doctoral coursework. Colourbox via Unsplash Colourbox