AND AGRICULTURAL SCIENCES SCHOOL OF MATHEMATICAL AND STATISTICAL SCIENCES POSITION NUMBER: P000813 POSITION: POSITION: SENIOR LECTURER IN STATISTICS PEROMNES GRADE: A7 EMPLOYMENT TYPE: PERMANENT APPOINTMENT NOTE: for lecturing undergraduate and/or postgraduate statistics modules, and can also be expected to be involved the supervision of postgraduate students, and statistical consultations where one supports staff members postgraduate students with the planning, design and statistical analyses of their research projects. KEY RESPONSIBILITIES:
techniques Minimum requirements: Minimum BSc (Hons) Hydrogeology, BSc Degree to include Geology as a major major subject, a Chemistry or Mathematics major would be an added advantage Professional Registration At
techniques Minimum requirements: Minimum BSc (Hons) Hydrogeology, BSc Degree to include Geology as a major major subject, a Chemistry or Mathematics major would be an added advantage Professional Registration At
and written communication skills Competency in mathematical and accounting principles Reports, feasibility tender process Education & certificates: BSc (Hons) QS or similar qualification in Quantity Surveying
Managing financial models Applying advanced statistical predictive modelling Guiding and delegating tasks members Requirements: BSc or MSc in Mathematics, statistics, applied mathematics, actuarial science, finance
Managing financial models Applying advanced statistical predictive modelling Guiding and delegating tasks members Requirements: BSc or MSc in Mathematics, statistics, applied mathematics, actuarial science, finance
completed a BSc / BEng / Honours / Masters in Mathematics/ Financial Mathematics / Statistics / Actuarial
is a BEng (Metallurgy and Material Science / BSc. (Hons) Material Science is essential. A minimum of Mechanical and metallurgical testing and equipment, statistics, quality principles, in depth problem solving mechanical and metallurgical testing and processes, statistics and quality control systems, testing equipment
is a BEng (Metallurgy and Material Science / BSc. (Hons) Material Science is essential. A minimum of Mechanical and metallurgical testing and equipment, statistics, quality principles, in depth problem solving mechanical and metallurgical testing and processes, statistics and quality control systems, testing equipment
visualization techniques and platforms. Applying statistics, machine learning, and analytical approaches such as Python Hold a relevant qualification (e.g., BSc in Computer Science, Engineering, Information Systems Systems, Actuarial Sciences, Applied Mathematics, Statistics). Candidates without a Computer Science, Engineering Solid theoretical predictive modelling, mathematical and statistical skills. Proficient in SQL. 5 years of advantageous. Highly analytical with strong maths and statistics skills. Experience using business intelligence