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Field
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power systems – specifically voltage sourced converter based HVDC. The work will involve developing and analysing models of VSC-HVDC, their associated controls, and network connection, in PSCAD and Matlab
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operation · Application of artificial intelligence or machine learning in energy or engineering systems 5. Strong programming and modelling skills using relevant tools such as Python, MATLAB
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field. A background in organic chemistry, and/or high-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is
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studies and in using functional MRI and scripting-based languages (e.g. Matlab, R, Python). You will need to hold a PhD in Neuroscience, Economics, Psychology, Decision Sciences or related discipline
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. You will benefit from: Access to high-performance computing resources: HPC Stanedge. A comprehensive suite of commercial and open-source software (e.g., Abaqus, Ansys, COMSOL, MATLAB, PyTorch, …). A
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performance in previous studies is also valued. Knowledge of at least one scientific computing programming language, e.g., MATLAB or Julia, is highly desirable. Other requirements: Master’s degree in
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skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python. Experience in working with epidemiological or healthcare (or similar) data
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, with experience in relevant programming languages (e.g. Python, C++, or MATLAB) Desirable: Industrial experience in autonomous vehicle systems or similar technological environments. Experience with
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and validation of models. This position requires a strong background in applied economics and proficiency in computational modelling and simulation (e.g. in Stata, Python, R, or MATLAB), as
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management techniques Experience of optimisation of applications such as R, Matlab, Nagios, SLURM, Open Stack, Cuda, Sigmaplot, Exceed, Graphpad, Cognos, Shiny Apps, Docker, experience of shell scripting