ical Engineering § Graduate: 8 years laboratory manager experience, non-graduate 10 - 12years' laboratory problems § Computer literate with statistical analysis/statistical process control § Excellent people
ical Engineering § Graduate: 8 years laboratory manager experience, non-graduate 10 - 12years' laboratory problems § Computer literate with statistical analysis/statistical process control § Excellent people
Engineering 8 years laboratory manager experience, non-graduate 10 - 12years' laboratory manager experience XRF practical problems Computer literate with statistical analysis/statistical process control Excellent people skills
Engineering 8 years laboratory manager experience, non-graduate 10 - 12years' laboratory manager experience XRF practical problems Computer literate with statistical analysis/statistical process control Excellent people skills
cape-town-lc_694/ ESSENTIALS MSc/PhD in (Bio)Statistics OR Data Science , 10 years working experience designing & executing study designs and doing statistical analyses for observational & experimental in-house clinical health expertise, data analytics, statistical and modelling expertise, our client develops leading the team in the design of studies and statistical analyses, to form part of the study protocol data scientists. REQUIREMENTS MSc/PhD in (Bio)Statistics OR Data Science 10 years working experience in
Geology and Soil Sciences · Supervision of post-graduate students. · Produce research output through international mapping · Essential: Software skills including statistics · Desirable: R and/or Python coding · Desirable:
Geology and Soil Sciences · Supervision of post-graduate students. · Produce research output through international mapping · Essential: Software skills including statistics · Desirable: R and/or Python coding · Desirable:
chemicals according to the protocols. Data capture. Statistical analyses. Interpretation of results. The writing
Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field; advanced degree preferred
Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field; advanced degree preferred