Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
interpreting Next Generation Sequencing (NGS) and genomic data. Experience with shell scripting (Bash), and at least one high-level programming language (Python or R) is essential. A sound knowledge of soil
-
have experience of compressible-flow rig design, CD CAD, and the ability to work across systems integration topics, along with programming in one or more of: Python, Matlab, C, C++, FORTRAN, LabVIEW. You
-
design, CD CAD, and the ability to work across systems integration topics, along with programming in one or more of: Python, Matlab, C, C++, FORTRAN, LabVIEW. You will also bring excellent project and time
-
: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in implementation of fusion
-
programming (e.g. Python, R, MATLAB or similar), data analysis or experimental research are encouraged to apply; however, we equally value potential, creativity and a thoughtful approach to problem-solving. We
-
candidate would have experience with computational modelling and control of dynamical systems. Other useful skills include scientific programming (e.g., Python or Matlab), control system design, and
-
monitoring. Familiarity with tools such as Python, MATLAB, or embedded C would be advantageous. Most importantly, this project is ideal for applicants who are motivated to tackle real-world reliability
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
, computer vision, and data analysis using industry-standard tools such as Python, MATLAB, and deep learning frameworks. The student will enhance their ability to manage complex, interdisciplinary research
-
algorithms and machine learning. Strong background in programming (e.g. MATLAB, Python) and tools (e.g. Ansys, HFSS or CST Studio Suite). Good Hands-on skills using equipment and hardware platforms including