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• Practical knowledge and experience in mineral processing operations related to ultrafine coal and mineral separations. • Knowledge and or experience in common mineral characterization methods, including SEM
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other duties assigned by the department head. Required Qualifications An MS or PhD in Statistics or a related discipline at time of appointment. Excellent communication and teaching skills. Preferred
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, as well as with partners in industry, government, and non-profit sectors. The successful candidate will hold a PhD or PhD-equivalent doctoral degree in computer science or a closely related field, a
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specific research objectives. Instruct laboratory users in proper analytical methods. Train students and technicians in use of facilities and equipment. Serve as the department’s laboratory safety
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devices and projection computer hardware and software, for supported offices. Assists with designing automated computer installation processes to reduce install times. Performs troubleshooting efforts
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certification.| Previous machine technology certification.| Previous pipe fitting experience.| Previous millwright trade experience.| ASOPE First Class License.| Previous Computer Maintenance Management Software
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conditions. 4). Demonstrated expertise in basic ecological and wildlife survey protocols. 5). Experience with Global Positioning Systems and ESRI based GIS software a plus. 6). Ability to perform basic
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his PhD degree in Prof. Curtis Berlinguette’s lab at University of British Columbia in Canada in 2018. He then moved to Prof. Erwin Reisner’s lab at the University of Cambridge for postdoc program. In
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that translate business needs into functional solutions. Ensure systems and software meet efficiency requirements and adhere to quality assurance standards. • Analyze and evaluate the technical infrastructure
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solutions. Ensure systems and software meet efficiency requirements and adhere to quality assurance standards. • Analyze and evaluate the technical infrastructure for both existing and new enterprise