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data processing, single-cell data processing, and Matlab, R, or Python, and scientific illustrations will be an advantage. Finally, the ideal applicant also has high proficiency in spoken and written
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modelling of cognitive processes. Fluent in statistical code in either R, Python, or Matlab. The advantage is Previous work on social cognition, decision-making, moral psychology and related topics
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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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proficiency with basic computing packages such as MS Word and Excel and will have some familiarity with one or more of the following (Linux, MATLAB, SPM, FSL, fMRI). Strong interpersonal skills, prior research
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, programming competence for research (e.g., Python and/or MATLAB and reproducible workflows), and the ability to design and execute rigorous computational experiments. Familiarity with optimisation, networks
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domains) Experience with RF signal analysis and wireless communication systems Experience with SDR platforms (e.g., USRP) and IQ data processing Experience with MATLAB and Python Excellent written and oral
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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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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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. Strong research background in biometric security, presentation attack detection, or digital identity systems. Demonstrated programming skills in Python, MATLAB, or C++, and experience with deep learning
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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