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The Graduate School of Medical Sciences (GSMS) is developing a new blended onboarding programme to help international PhD candidates prepare for their doctoral journey, integrate into the university
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conditions. As a PhD candidate, you will develop mechanistic crop models for innovative greenhouse production systems. You will model young plant production in vertical farms, source–sink relationships in
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help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
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, development, and orchestration of self-driving laboratories (material acceleration platforms) at Clean Energy Innovation Mississauga (CEI-M). This role will be highly collaborative, leading a project involving
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playing a leading role in the design, development, and orchestration of self-driving laboratories (material acceleration platforms) at Clean Energy Innovation Mississauga (CEI-M). This role will be highly
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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Are you fascinated by controlling magnetic matter by femtosecond laser pulses, eager to explore the underlying physical mechanisms, and passionate to develop a generic tool to ‘print’ complex
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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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, reading scientific literature, are eager to develop new skills, and thrive in an international, collaborative setting. A good sense of humour will help you feel at home in our team. You also bring: - a
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Technology, Department of Safety, Economics, and Planning. The PhD fellowship leads to a doctoral degree and gives you the opportunity to develop research expertise in an active and stimulating academic