mineralogical data (numerical, images) for purposes of research or commercial service, according to predetermined on project work from the mining/ metallurgical industry and related research agencies, in line with Division's industry and propose appropriate project work, both research and commercial oriented. Lead and execute projects
mineralogical data (numerical, images) for purposes of research or commercial service, according to predetermined on project work from the mining/ metallurgical industry and related research agencies, in line with Division's industry and propose appropriate project work, both research and commercial oriented. Lead and execute projects
management experience within filtration, textile, mining or heavy industry
MS Office package, Autocad
EXPERIENCE: 5 years technical working experience in mining or similar industry (at least 2 years of the 5 years should include exposure and experience in mining and materials processing SHEQ) ISO Standards: ISO14001 protection vocational training offered by Chamber of Mines or an equivalent approved course and supervised
EXPERIENCE: 5 years technical working experience in mining or similar industry (at least 2 years of the 5 years should include exposure and experience in mining and materials processing SHEQ) ISO Standards: ISO14001 protection vocational training offered by Chamber of Mines or an equivalent approved course and supervised
Reference: MID015956-NB-1 Well establish law firm in Randburg is Litigation Secretary dealing with Road
Reference: MID015956-NB-1 Well establish law firm in Randburg is Litigation Secretary dealing with Road
Reference: MID015942-NB-1 Boutique law firm in Randburg, specializing in General Litigation is looking
Reference: MID015942-NB-1 Boutique law firm in Randburg, specializing in General Litigation is looking
from sites, warehouses, or other venues Conduct research to obtain data on labour costs, materials, production management principles · In depth knowledge of research and data analysis methods and estimation formulas management principles · In depth knowledge of research and data analysis methods and estimation formulas