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working on related topics Participate in teaching and supervision activities, in line with the candidate's profile and interests The research activities will be hosted by the Parallel Computing and
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core network protocols Proficiency in multiple programming languages including bash scripting, MATLAB, C/C++ and Python. Other simulation languages such as JULIA are pluses Working knowledge
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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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-Gym-Lab Programming skills in C++, Python, and ROS framework We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of
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Computer Science, with specialization on applied machine learning, statistical methods, and/or autonomous systems Strong programming skills Strong analytical skills Industry experience in information and
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career goals align with its objective PhD diploma or a letter/information indicating the expected defense date Transcript of all modules and results from university-level courses taken List of publications
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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
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sequencing; Has experience with programming, data visualization and data handling in Python, R or related languages; Is proficient in Unix/Linux-based command line and cluster environments; Has
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its objective PhD diploma or a letter/information indicating the expected defense date Transcript of all modules and results from university-level courses taken List of publications Early application is
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of all modules and results from university-level courses taken List of publications The name, current position and relationship to the applicant, of two referees Early application is highly encouraged, as