Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
of outward facing researcher documentation. Education / Experience • CEGEP or BSc. Field/Discipline: Mathematics, Statistics or other fields of quantitative sciences • Master’s Degree considered an asset
-
in other departments across campus. About the Faculty of Science The Faculty of Science has programs in Natural Resource Sciences, Biology, Chemistry, Physics, Computer Science, Mathematics, Statistics
-
; Respect at NAIT; and Emergency Warden Training. Skills & Abilities: Subject-matter expertise in technical mathematics, business mathematics, statistics or calculus (depending on specific course taught
-
science, mathematics or statistics with excellent English language skills. The aim of RESILIENCE is to fundamentally advance our understanding and predictions of tipping points and critical transitions in
-
science, mathematics or statistics with excellent English language skills. The aim of RESILIENCE is to fundamentally advance our understanding and predictions of tipping points and critical transitions in
-
position, discuss your application with your people leader to ensure the appointment is suitable relative to your current position. Department: Mathematics & Statistics Status: Term Employment Group: CUPE
-
Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 6 days ago
(negotiable). Applicants must hold a master’s degree in Management or Decision Science, Finance, Economics, Mathematics, Statistics, Operations Research, Business Analytics, Information Systems or a closely
-
sensing, environmental sciences, data science, mathematics, statistics or a related field Strong quantitative skills including ecological data analysis, statistical analysis and data management Experience
-
to address the larger project goals. Minimum Qualifications A PhD degree in ecology, remote sensing, environmental sciences, data science, mathematics, statistics or a related field Strong quantitative skills
-
Qualifications A PhD degree in ecology, remote sensing, environmental sciences, data science, mathematics, statistics or a related field Strong quantitative skills including ecological data analysis, statistical