Sort by
Refine Your Search
-
maintaining high academic standards. Qualifications: Ph.D. in Finance, Economics, Risk Management, Insurance, Statistics, or a closely related discipline from a reputable institution. Demonstrate strong
-
efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, etc. These positions would be especially relevant for those with a
-
Group at Nanyang Technological University (NTU) is seeking an inquisitive Research Fellow (RF) with a strong background in biophysics and statistical mechanics as well as prior experience in numerical
-
: Utilize statistical software like STATA or R, depending on the project's needs. Project administration: Help with project management tasks such as seeking ethics approvals, tracking budgets, and preparing
-
synthesis methods for scoping and systematic reviews, with the capacity to quickly develop advanced proficiency. Working knowledge of widely used statistical tests. Experience conducting statistical analyses
-
quantitative research methods, statistical analysis, and computational techniques; proficiency in programming languages such as Python, statistical software such as R, and basic AI/ML development Independent
-
Demonstrable research track record on topics related to the project, such as but not limited to: General philosophy of science Philosophy of physics (especially philosophy of thermodynamics and statistical
-
-solve efficiently Skilled in social science research. Knowledge of advanced statistical tests (e.g. moderation/mediation, hierarchical regression etc.) will be advantageous A team player with effective
-
, XPS/AFM, electrical probing; DoE/statistics (Python/Matlab a plus). Strong documentation, safety discipline, and clear communication in English - essential for data analysis and communication with
-
directly to the scientific quality, credibility, and impact of the network’s research outputs. Key Responsibilities: 1. Study Design & Protocol Development Provide statistical expertise during study concept