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in at least one major programming language, such as Python, is expected Familiarity with deep learning frameworks and modern NLP toolkits is an advantage Motivation to publish research results in
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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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Software Testing and Analysis Machine Learning and Large Language Models Web Systems and IoT Systems The candidate must possess strong programming skills in Java or Python and is willing to learn all
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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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analysis of multi-dimensional datasets. You possess bioinformatics expertise and have working knowledge of programming languages such as R, Python and/or Bash. Experience with analysis of bulk or single cell
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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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, or computational imaging; You have strong skills in digital signal processing (DSP), including familiarity with machine learning or deep learning; You have proficiency in scientific programming (e.g., Python, MATLAB
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of programming languages such as Python or R and prior experience with data science, high-throughput omics such as single cell and/or transcriptomics, and statistics, is a plus. Expertise in one or more of the
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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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will design, implement, and validate novel algorithms, and benchmark them against state-of-the-art reconstruction pipelines. Strong programming skills (e.g., Python/C++ and GPU-based computing) and