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48109-2125 Who We Are At Michigan Engineering, we develop the talent and technologies that move society forward and serve our state and national interests. Through discovery and innovation, we create
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characterization. Proven experience in development, operation and optimization of THz sources and detection. Experience in THz Imaging. Proficiency in Python programming to develop codes for post-data processing
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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. • Present research at major international conferences. • Develop an independent research profile while contributing to impactful policy-oriented research. Application Procedure Applicants should submit
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project will be thematically connected to, and form part of, a work package on trophy hunting. The final description of the PhD project will be developed in consultation with the project leader, Ragnhild
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will contribute to all stages of the research process, including literature review, conceptual framework development, data collection and preparation, AI and machine learning model development
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primary learning experiences. You will examine the susceptibility of table grape breeding lines to gray mold caused by Botrytis cinerea, including developing and conducting scalable, high-throughput
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the supervision of Professor Russell Dale. This role will focus on developing metabolomic assays for the discovery and translation of novel metabolites in cerebrospinal fluid and plasma, contributing to impactful
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to developing the next generation of resilient robotic networks for critical maritime operations. As a PhD candidate, you will work at the intersection of robotics, artificial intelligence, and autonomous systems
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developing a new bioelectrochemical technology for the selective recovery of lithium from spent lithium-ion batteries. This is an exciting opportunity to contribute to research at the interface