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science and machine learning Knowledge with Python or Matlab. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR
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computing systems using languages like python and fortran. Your ability to lead by example, coupled with excellent communication and interpersonal skills, will enable you to foster respectful and productive
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microcontroller platforms and FPGAs (with proficiency in HDL such as Verilog) development of hardware control software stacks (with proficiency in C++ and Python) at the level of the system software engineer
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of power system operation, planning and resilience. Good programming skills (e.g. GAMS, Python, Matlab). Demonstrated high level interpersonal and communication skills with the ability to work
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reasoning and robotics C/C++ programming and knowledge Python programming
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response, governance, or consulting. Experience managing security controls such as SIEM, firewalls, endpoint security, or secure email gateways is preferred; alternatively, proficiency in Python and
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, problem-solving and project management skills. Candidates with strong quantitative skills, including familiarity with python and astronomy are desired for this project. Must be eligible to enrol in PhD
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skills in fNIRS data collection, data mining techniques and data modelling (Python/Maltab). Lab Head: Professor Colette McKay, Translational Hearing Research Lab Contact: DGao@bionicsinstitute.org Project
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developing scientific software (using any of these languages/libraries: Python, Julia, C++, C, Fortran, Matlab, Fenics/FeniX, MFem, deal.II, libMesh, PETSc, Trilinos, Pytorch, TensorFlow, Jax, Keras, Pandas
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(e.g., C++, Unity, Python) a background or interest in human-computer interaction, gender studies, and/or construction familiarity with qualitative and quantitative research methods. How to apply We