Sort by
Refine Your Search
-
world class research Essential Application Experience with one or more programming languages (e.g., Python, R, Matlab, Fortran). Essential Application Motivated and self-assured in taking initiative
-
analysis. • Hydrological and hydraulic simulation. • Machine learning, including unsupervised clustering and predictive modelling. • Working with large, complex, multi-source datasets using MATLAB, Python
-
PhD student will expect to develop some experience in developing power systems models using a range of computer languages and tools (e.g. Python, MATLAB, OPNET, etc), ideally for applications involving
-
international, interdisciplinary team. Applicants should hold a good honours degree (or equivalent) in computer science, engineering, or a related field, with strong programming skills in Python and familiarity
-
. Strong quantitative and analytical skills. - Experience with a programming language, such as Python or MATLAB. - High motivation, creativity, and the ability to work independently. 3.2. Desirable Skills
-
, deposition and transport behaviour. • Wastewater treatment modelling, including aeration energy, sludge production, nutrient removal and AD performance. • MATLAB/Python-based data analysis, multi-source data
-
. This will consist of a Python coding test, a short presentation of a research paper, and an interview. We plan to let candidates know if they have progressed to the selection stage on the week commencing 9th
-
Experience of developing embedded software and hardware for power electronics/drives applications Essential Application/Interview Experience of using programming languages, particularly C and Python. Essential
-
Knowledge and experience of scripting languages and automation tools (e.g. Python) Desirable Application & Interview A clean driving licence Desirable Application The ability to work outside of normal
-
undergraduate projects or research assistant positions, exposure to microscopy, histology, or tissue-based research, basic statistical analysis skills in R, Python, or similar platforms, laboratory experience