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:
Analysis: Execute detailed actuarial and statistical analyses.Qualifications:
/>Bachelors degree in Actuarial Science, Mathematics, Statistics, or a related field (Masters degree preferred)
functions including maintaining Data Tables and Statistical Tables.