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Field
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and open team Any educational and/or research experience in the field of cryptographic implementations (coding in C, Assembly, HDL), side-channel and fault attacks (coding in Python, Matlab, lab
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Engineering with excellent grades. Knowledge of Digital/Mixed-Signal Integrated Circuit (IC) design and Computer Architecture. Solid skills in HDL (Verilog, VHDL) and scripting languages (Python, TCL
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. Programming and Data Analysis: Proficiency in programming tools such as Python, MATLAB, or C++ is highly beneficial for control development, data analysis, and real-time system implementation. Experience with
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programming languages such as Python or R. You are able to collaborate effectively in a diverse, multidisciplinary research team. You have strong communication and social skills. Given the international
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knowledge or hands-on experience with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis. Communication: Excellent written and spoken communication skills in English are
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, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
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, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
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field. Solid background in digital IC design and digital signal processing. Hands-on RTL design skills (SystemVerilog / Verilog / VHDL) plus scripting (Python / MATLAB / C/C++). Strong command of English
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Engine. Demonstrable experimental and analytical skills, including designing and conducting studies, programming (e.g., Python, C#), and statistical analysis. Proficiency in both qualitative and
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specifically in your application, as they can be of value in the selection process: Knowledge of Python / R programming and/or other evidence of data science skills. Evidence of prior research work, exemplified