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Linux environment is a plus, as is a good knowledge of brewing technology (and/or food technology). After an initial screening, suitable candidates will be invited for an interview, scheduled
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in C/C++ or Python. Knowledge of Linux (ubuntu), ROS 1 and/or 2, Gazebo and/or pybullet, Docker, git, Latex are a plus. Knowledge of SLAM, pose estimation, UWB, IMUs, VIO, LIO are a plus. Hands on
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/modification, translation). • Comfortable in a Linux/Unix environment; basic shell scripting and Python or R skills. • Strong quantitative mindset and motivation to develop analysis pipelines for NGS and
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://github.com/open-sdr/openwifi ). You are also encouraged to design higher networking layer functionality and driver in Linux environment, to fully exploit the distributed MIMO and coordinated multi-AP feature
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of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang