AGRICULTURAL SCIENCES SCHOOL FOR MATHEMATICAL AND STATISTICAL SCIENCES POSITION NUMBER: V000511 VACANCY: LECTURER for lecturing undergraduate and/or postgraduate statistics modules and can also be expected to be involved honours students and completing projects as a statistical consultant. KEY RESPONSIBILITIES: Teaching and Learning · Presenting undergraduate and postgraduate statistics modules. · Development of new modules. Research degree/supervision of postgraduate students Statistical Consultation · Assist in planning research projects
AGRICULTURAL SCIENCES SCHOOL FOR MATHEMATICAL AND STATISTICAL SCIENCES POSITION NUMBER: V000511 VACANCY: LECTURER for lecturing undergraduate and/or postgraduate statistics modules and can also be expected to be involved honours students and completing projects as a statistical consultant. KEY RESPONSIBILITIES: Teaching and Learning · Presenting undergraduate and postgraduate statistics modules. · Development of new modules. Research degree/supervision of postgraduate students Statistical Consultation · Assist in planning research projects
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
and postgraduate level Operations Research and Statistics. Research in the area of expertise and publish LECTURER A PhD (NQF level 10) in Operations Research/Statistics. A minimum of five (5) years' teaching experience master's degree (NQF level 9) in Operations Research/Statistics. A minimum of two (2) years' teaching experience Research and Statistics modules. Knowledge of Statistical methods and use of Statistical software. Ability research in the field of Operations Research and Statistics. Assume administration responsibilities in their
and postgraduate level Operations Research and Statistics. Research in the area of expertise and publish LECTURER A PhD (NQF level 10) in Operations Research/Statistics. A minimum of five (5) years' teaching experience master's degree (NQF level 9) in Operations Research/Statistics. A minimum of two (2) years' teaching experience Research and Statistics modules. Knowledge of Statistical methods and use of Statistical software. Ability research in the field of Operations Research and Statistics. Assume administration responsibilities in their
and execute annual report plan Draft database Statistical analysis Report consolidation Provide key insights Quantitative, Data Science, Engineering, Mathematics, Statistics, Computer Science, Economics, Econometrics No and execute annual report plan Draft database Statistical analysis Report consolidation Provide key insights Quantitative, Data Science, Engineering, Mathematics, Statistics, Computer Science, Economics, Econometrics No
report plan
visualization techniques and platforms. Applying statistics, machine learning, and analytical approaches Systems, Actuarial Sciences, Applied Mathematics, Statistics). Candidates without a Computer Science, Engineering theoretical predictive modelling, mathematical and statistical skills. Proficient in SQL. 5 years of experience advantageous. Highly analytical with strong maths and statistics skills. Experience using business intelligence
Analytics/Data • Science/Modelling/Statistics • Programming and statistical computer languages (R, Python management and organisational skills • Knowledge of statistical modelling and data mining techniques i.e. Regression network analysis etc. • Querying databases using statistical computer languages i.e. R, Python, SQL, • etc
possess a Master's/Bachelor's Degree Mathematics/Statistics/Computer Science or similar field with 3 years patterns, and relationships within the data. Apply statistical techniques and data visualization methods to technologies in Data Analysis. Expand knowledge of statistical analysis techniques, data modelling, and data Degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science). Experience/Skills large datasets efficiently. Experience with Statistical Analysis techniques and Data Modelling. Proficiency