Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
artificial intelligence can support the development and use of computer algebra systems, including mathematical programming, software verification and testing, documentation, and new ways for researchers to
-
mathematical programming, software verification and testing, documentation, and new ways for researchers to interact with computational mathematics software compile data sets relevant to research in
-
systems, including mathematical programming, software verification and testing, documentation, and new ways for researchers to interact with computational mathematics software compile data sets
-
management, including working with high-dimensional, multi-country or time-series datasets; sound programming skills, with a strong preference for MATLAB; experience in other scientific programming languages
-
computing Strong programming and data-analysis capability, preferably including Python and C/C++ A record of high-quality research outputs commensurate with opportunity and demonstrated ability to
-
s) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets; sound programming skills, with a
-
diffraction and advanced diffraction methods. Density functional theory calculations. Python programming, or a willingness to learn. Higher degree student supervision. Strong initiative, resourcefulness and
-
Python, R, or similar programming languages in a research environment. Experience working with melanoma, skin cancer or medical imaging research, including the analysis and management of 2D and 3D
-
and spatial omics technologies, including transcriptomics, metabolomics, or multi-omics data integration. Proficiency in programming languages and analytical tools such as R, Python, and machine
-
, quantum sensing or quantum parameter estimation. Experience with convex or semidefinite optimisation, variational methods, or computational complexity. Proficiency in relevant scientific programming