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of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python programming / package development, Co-supervise PhD and undergraduate students
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downconversion layer Analysis of data using software tools such as MATLAB, Python, or Origin. The candidate must be familiar with materials studio software and any other materials modeling software. Experience in
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, Urban Planning, Urban Economics, or a related field. Experience in research projects applied to urban, environmental, or socio-economic issues. Proficiency in urban modeling tools such as MATLAB, Python
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of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong publication record in high impact conferences / journals. Very good programming skills (e.g., C, C++, Python
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charge/discharge cycles); Proficiency in languages commonly used in IoT, such as C/C++, Python, and JavaScript. Expertise in firmware development and optimization for microcontrollers and embedded systems
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, Organization of field trips, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’ or Python programming, Co-supervise PhD and undergraduate students. Be willing to be
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. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages such as python. Experience with HPC environments and linear algebra
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language processing. Experience with transformer-based architectures (e.g., BERT, GPT) is highly desirable. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Experience with
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by relevant publications and research projects. Technical Skills: Proficiency in modeling and simulation methods for energy networks. Experience with energy network analysis tools (e.g., MATLAB, Python
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(e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal