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(e.g. Python, C++, R, MATLAB, Julia). Extensive experience in machine learning algorithms and techniques including with AI frameworks like TensorFlow, PyTorch, JAX, or Scikit-learn. Experience working
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for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in
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or related field. Research experience in computational biology, computer science, math, physics or related field. Experience with programming (C++, Labview, MATLAB, python). Experience with design
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instrumentation, microcontroller and embedded development tools, CAD design, and software integration (e.g., Python, ROS, or MATLAB/Simulink) is expected. The Associate Development Engineer collaborates closely
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pipelines (Python preferred). Experience with Bayesian Generalized Linear Models (NumPyro, RSTAN preferred). Experience with developing visualization of electrophysiological data (e.g. tableu, matlab
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. Experience with a scientific programming environment (such as Python, R, or Matlab) is preferred. ? Strong communication skills. ? Background in machine learning or biology is a plus. ? Knowledge of cancer
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validation of energy system solutions will be an advantage. Strong programming skills in Python, MATLAB or similar environments are required, and it will be advantage if you have worked with hardware-in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
skills in at least one of the following languages: Python, C, C++, MATLAB, HDL, and proficiency using tools and software such as Altium, Vivado, VHDL, and microcontroller environments. The Area The
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. Proficiency in programming languages such as Python or MATLAB is essential. Preference is given to candidates with experience in working with large-scale datasets (extended database knowledge and experience
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; or Python or MATLAB) for device control, data acquisition and analysis. Primary author contributions to peer-reviewed journals. A record of high-quality publications, as appropriate for the stage in career