Sort by
Refine Your Search
-
Employer
-
Field
-
); familiarity with phase-noise / linewidth / RIN measurement and coherent detection is a strong advantage Competent in scripting and data analysis in Python or MATLAB, with comfort using version control (Git) and
-
, efficiency, and timing trade-offs in low-light imaging. Applicants should have competence in data acquisition/analysis and scripting for instrument control (e.g., Python/Matlab/LabVIEW) Applicants preferably
-
(including single-cell RNA-seq and spatial transcriptomics data). Use computational tools and algorithms written in one/all R, PERL and Python. Contribute to project management, presentations and publications
-
) would be an added advantage Possess good programming, optical instrumentation, automation and data processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ) Proven publication
-
Demonstrate skills in quantitative research methods, statistical analysis, and computational techniques; proficiency in programming languages such as Python, statistical software such as R, and basic AI/ML
-
using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms. Keen interest to support research and academic project work, with demonstrated
-
. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis
-
measurements, awareness of noise, efficiency, and timing trade-offs in low-light imaging. Applicants should have competence in data acquisition/analysis and scripting for instrument control (e.g., Python/Matlab