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, including hands-on implementation Strong understanding of machine learning models and their development Strong analytical, problem solver, and programming skills for Python and Matlab are preferred Experience
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) Proficiency in scientific programming using Python, with experience in Matlab and/or R considered an asset. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX. Experience in
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molecular biology and genetics techniques. Strong quantitative/analytical skills and proficiency in programming in MATLAB, Python, or R. Track record of first-author original research papers. Strong oral and
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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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learning - deep neural network, recurrent neural network, LSTM Optimization theory Stochastic geometry Strong programming skills in at least one of the following: MATLAB, Python, JULIA or C++. Highly