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Field
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environment such as Matlab/Simulink. Design and develop an intelligent energy management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and
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Physics, Electrical Engineering, Materials Science, or a related field with low-dimensional nanophotonics. Excellent publication records will be preferred. Experience in matlab, MEEP, RCWA and other
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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of dynamic systems (MATLAB/Simulink, Gazebo); Familiarity with robotic manipulators and manipulator kinematics/dynamics. Digital Twin Development and SimulationExperience in digital modelling of robotic
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. • Proficiency in programming (e.g., Python, C/C++, MATLAB) for model development and data analysis. • Demonstrated ability to work independently and as part of a multidisciplinary team
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regional climate modelling, good knowledge of programming in Matlab/Python, Fortran/C, Bash, and working in an HPC environment, published scientific papers, and be fluent in written and spoken English. Where
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(e.g., MATLAB, Python). Demonstrate a strong publication record and academic writing skills appropriate to their career stage. Background Investigation Statement: Prior to hiring, the final candidate(s
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-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python, Matlab…) Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player
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. Demonstrated fMRI expertise and solid statistics. Strong programming skills (MATLAB, Python, or R). Preferred (but not required) Experience with brain plasticity, multisensory processing or development
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recordings with silicon probes or Neuropixel probes is highly advantageous. For NeuroAI focus: Strong programming skills in Python and Matlab. For NeuroAI focus: Familiarity with analyzing large-scale neural