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Program
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Field
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optimization Strong command of signal processing applied to detection / mitigation Machine learning experience is a valuable asset Proficiency in MATLAB. Python and machine learning frameworks is a valuable
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, or related field Strong background in multimodal neuroimaging, neuromodulation techniques, cognitive studies. Excellent analytical and programming skills (Matlab, Python). Experience with machine
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Science, Education, or related discipline Proficiency in programming (MATLAB, Python, R) Experience using advanced statistics Ability to build advanced experimental interfaces (using Matlab, Psychopy
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of 3 years of relevant research experience. Familiarity with sensors and structural design. Strong written and oral communication skills. Proficiency in programming languages such as C/C++, MATLAB
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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