Sort by
Refine Your Search
-
well as partaking in detector operation shifts. The candidate should have a good knowledge of particle physics and experience programming in Python or C++. Instructions for applying can be found on the website https
-
on an existing experiment design. This will allow the student to familiarise themselves with the relevant Physics, literature, Fortran code, Python analysis tools, and simulation setup while providing a valuable
-
). Strong programming skills in Python or a similar language (assessed at: application/interview). Ability to set up and configure software environments, eg installing simulators or libraries (assessed
-
digital pathology or AI-based analysis platforms (e.g., QuPath, HALO, CellProfiler, R/Python) Desirable Application/Interview Further Information Grade 7 Salary £38,249 - £46,735 Work arrangement Full-time
-
complex specifications using using query languages such as SQL (Application / Interview) ● Experience in data cleaning and linkage of datasets in a programming language (R or Python) (Application
-
for biological research Essential Application/Interview Working knowledge of a programming language relevant to biological analyses, e.g. R/Python Essential Application/Interview Experience presenting research
-
of code acceleration (GPU) Participate in numerical modelling (HPC (GPU), MPI Fortran / C, C++ Kokkos, Python, Perl) of SAMS front end and physics/test modules. Write research reports, progress reports
-
demonstrate good knowledge of mathematics, numerical modelling, fluid dynamics and signal processing and be a proficient user of a programming language, e.g. Python or Matlab. Main duties and responsibilities
-
Experience with the use of Finite Element Methods in modelling acoustic problems (assessed at: Application form/Interview) Essential Application and Interview Experience with Python or Matlab or any other
-
biomechanical computational model, and have some experience in scientific programming such as Python. You will join the group of Dr Xinshan Li, Professors Damien Lacroix and Enrico Dall’Ara, as part of