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of algorithms Ability to design, implement, and execute empirical studies, General fluency in machine learning methodology, Joining the CMU team opens the door to an array of exceptional benefits, available
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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research on designing mobile energy hubs, energy systems integration, resilience analysis, and developing digital twin models and AI-enabled algorithms. You will conduct lab and field tests, analyse data
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of microbial genomics and develop computational tools with broad applications in biotechnology and biosecurity. The role involves collaboration with leading researchers across multiple institutions and will
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project by: Collecting, analysing and critically interpretating data sets from multiple techniques to characterise granular zeolite ion-exchange materials. Designing and developing new in situ synchrotron
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of specialized equipment. Ability to simultaneously manage multiple project objectives with strong organizational skills and attention to detail. Excellent written and oral communication skills and be highly
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or externally. Ability to work in a fast-paced team environment and handle multiple projects simultaneously. Your qualifications should include: Ph.D., MD, or MD/Ph.D., with a strong background and profound
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Southwestern (UTSW) Medical Center in Dallas, seeks applications for multiple postdoctoral fellow positions to investigate memory mechanisms in the mammalian brain using innovative molecular, cellular
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attributes: the ability to simultaneously and independently manage multiple long-term projects from conception to completion; strong research and writing skills, including traditional legal writing as
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analysis software (e.g., STATA, R, SPSS) and experience working with health-related data will be advantageous. The ability to work independently, manage multiple tasks, and communicate findings clearly is