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Field
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neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural
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ability to think critically about scientific analysis in order to ensure robust results Computational skills to include experience of using a statistical package (e.g., R, MATLAB or Python) Ability to work
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metamaterial design is a plus. Proficiency in programming (e.g., MATLAB, Python, or C++) and relevant simulation software (COMSOL and/or Abaqus). Excellent communication skills and a proven record of
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drives, power converters, or real-time embedded controllers. Practical experience in system modelling and simulation tools such as MATLAB/Simulink. Exposure to AI/ML techniques, particularly as applied
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from a single cell to the mature blastocyst. This will involve a combination of computer simulation (e.g. in C++ or MATLAB) and mathematical analysis. As well as intrinsic interest in embryology
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, nanofabrication, and computational electromagnetism. Strong coding (Python /MATLAB) and experimental aptitude is desirable.
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programming skills are UNIX/LINUX, and programming languages such as Python, R or MATLAB. Role Summary Implement and test different ML architectures for postprocessing precipitation forecasts over India
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of the drive), preferably using PLECs and Matlab/Simulink Experience of various motor control techniques for low and high speed, multi-phase permanent magnet motors and switched reluctance machines Extensive
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an advantage)Vehicles Dynamics & Vibrations Engineering (preferably an experienced user of Matlab/Simulink, ADAMS, Ansys, AVL, VI-grade or similar software modelling, experience in noise, vibration
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, Spatial Transcriptomics or proteomics/mass spectrometry would be advantageous as would experience using R and/or python code for bioinformatics data analysis of multiplex datasets. Knowledge of MATLAB, Perl