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Website https://www.academictransfer.com/en/jobs/364147/phd-multidimensional-analysis-o… Requirements Specific Requirements You (nearly) completed a MSc degree in a relevant area of research such as
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System Chemistry Team at IMDEA Nanociencia (Cantoblanco campus), and the research which will be carried out under the supervision of Prof. Thomas Hermans. The Systems Chemistry Team (https
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their website at https://www.naritalab.com/ Our laboratory investigates the biology of preneoplastic cell states, with particular interest in how changes in cell functional identity and plasticity are controlled
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forestry, with emphasis on forest management, carbon storage, and forest production under climate change. The PhD position lasts four years and starts in the late fall of 2026 or early in 2027. Twenty-five
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time
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life cycle by: Reducing material usage during manufacture. Improving electrical system efficiency and power-to-weight ratios during operation. Enhancing recyclability and resource recovery at end of life
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experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers of model performance at scale. As an early member of this fast-growing team
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-edge at the synchrotron. The photocatalytic and photoelectrochemical performances measured on the same series of materials will directly anchor the spectroscopic observables to the catalytic results
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to predict traffic demand, user mobility, and network conditions, enabling autonomous decision-making that maximizes network performance and user experience. A unique aspect of this research is the integration