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Field
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stakeholder engagements and respond to evolving technical needs Job Requirements: A strong background in power systems, energy modelling, or grid optimisation Proficiency in GUI development (e.g. using Python
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knowledge of experience with python and modern machine learning architectures (e.g. VAEs, transformers) and libraries (e.g., numpy, pytorch or tensorflow or JAX frameworks). A4 Knowledge of mathematical
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skills (R, Unix or Python) to develop research programmes in this area, and familiarity with experimental NGS sequencing approaches. Please ensure you read the Job Description and Person Specification
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visualization in R and/or Python. Ability to work closely with experimentalists to ensure analyses complement experimental goals and enhance data interpretation. Advanced Computational Skills: Proficiency in
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of physics/maths and biology is essential. Coding competency (in C, Python, Matlab or similar language) is essential. Applicants should demonstrate a publication record appropriate to their level of experience
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(CFD) methods. The role focuses on transitioning legacy CFD solvers to modern, Python-based AI frameworks (e.g., PyTorch, JAX), targeting high-efficiency, scalable simulations of water-air systems with
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responsibilities will include: Develop Automated Workflows: Utilise Python scripting (or equivalent) to automate job preparation, submission, analysis, and visualisation for high-throughput quantum chemistry
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postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience and proficient in processing different types of remote sensing datasets. Experience with terrestrial
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, dynamics, robot modelling and control engineering Experience in mobile manipulators and industrial robots Programming languages/libraries: MATLAB, C++, Python, OpenCV Competent in mechanical design Entry
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gdsfactory Knowledgeable in MATLAB and Python is necessary Knowledgeable in Ansys Lumerical FDTD, MODE, INTERCONNECT, CML COMPILER, MULTIPHYSICS Prior experience in the above will be a bonus We regret to