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. Proficiency in ROS and experience with real-time system integration. Strong programming skills in Python and C++. Demonstrated ability to conduct independent research and work collaboratively. Experience with
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experience in first-principles simulations such as DFT. The candidate should be proficient in using DFT software packages (e.g., VASP, Quantum ESPRESSO), high-performance computing, and Python-based workflow
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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components (low-noise amplifiers (LNAs), power amplifiers (PAs), mixers, oscillators etc) Experience in designing analog and mixed-signal circuits for RF applications. Knowledgeable in python programming, AI
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-end technologies (e.g., Node.js, Python/Django/Flask, REST APIs, SQL/NoSQL databases) Demonstrated knowledge of AI/ML methods, such as supervised learning, NLP, or deep learning, with application
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community. Requirement: PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like
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degree in (applied) mathematics Relevant research experience in stochastic analysis and/or partial differential equations, python coding Enthusiasm, good communication skills, and being able to conduct
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written and oral communication skills in English. Proficiency in computational methods, with experience in modeling using Fortran, MATLAB, and/or Python Demonstrated research experience in earthquake