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and ROS2 are essential, Matlab and AI/ML tools are an asset Language Requirements: Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted
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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++ Language
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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
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and their development Strong analytical, problem solver, and programming skills, e.g. Python, Matlab, are preferred Knowledge in Non-Terrestrial Networks and Semantic Communications is a plus Prior
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fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab
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photonic integrated circuits with software such as Lumerical, Matlab, Comsol, etc. Expertise in the fabrication of high-quality factor microresonators in different material platforms such as AlGaAs, SiC