Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
methods in meteorology (atmospheric data assimilation). This contributes to the cutting-edge research expertise of the College and the University in the strategic areas of Machine Learning, Statistical Data
-
develop statistical, mathematical, causal-inference, simulation, and machine-learning methods using large-scale flight trajectory and operational datasets. Research may cover airport surface congestion
-
cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI
-
degree in Computer Science, Statistics, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In
-
analysis, statistical modelling and evidence-based insights. The role contributes to institutional planning, university rankings and reputation, faculty and student outcomes, research analytics, and
-
and collaborative research at the intersection of quantum information science, machine learning, statistical learning theory, quantum thermodynamics, and complexity science. The Research Fellow will
-
Markets or investment banking. Demonstrates knowledge and understanding of business fundamentals, financial analysis and asset valuations. Proficient in economics, financial modelling, statistical analysis
-
). Familiar with survey data collection and management. Able to perform statistical analysis confidently (e.g., factor analysis, regression). Proficient in Microsoft WORD, EXCEL, and POWERPOINT, TEAMS
-
international institutions. Responsibilities: Support logistics and planning for field studies. Conduct large-scale data analysis using statistical modelling. Design, implement, and evaluate computational
-
coding skills including Pandas package, statistical or machine learning packages, access to cloud AI services Experience with cloud services and environments Experience with developing Web or mobile