Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
statistics, statistics programming languages like R, and applied data analysis for social science. Additionally, the RA will also help the Principal Investigator with general administrative assistant work
-
. Requirements: PhD degree in statistics or a related field from a reputable university. Solid knowledge in hypothesis testing and high-dimensional analysis. Strong proficiency in the R programming language
-
of scientific findings. He/she will be accountable to the Principal Investigator (PI). The RF / RA will be able to: Conduct quantitative data analysis using SPSS / STATA / R; Lead the development of research
-
SPSS and R, and proficient in graphical-user interfaced software (e.g. Qualtrics, Verint, Google forms, Microsoft Office suite) We regret to inform that only shortlisted candidates will be notified
-
framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++. Demonstrated project experience related to causal inference will be an advantage. Good written
-
projects. Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job Requirements: A PhD in Computer
-
researchers involved in security-related projects. Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job
-
-reviewed publications in high-quality journals. • Proficiency in programming and modelling tools (e.g., R, Python, C/C++, Julia). • Excellent quantitative and analytical skills, with experience handling
-
materials R&D, ideally with industrial experience Proven success in developing and scaling composite materails for industrial applications Experience leading compounding laboratory setup projects, inlcuding
-
studies, QTL studies, colocalization, Mendelian Randomization) Proficient in R, Python, Linux/Unix Command over commonly used genetics (e.g., PLINK, GCTA, FUMA, variant predictor tools) and metagenomics