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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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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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analysis (e.g., Matlab, Python, R) is a plus. Previous experience with EEG and fMRI data analysis is an advantage. Your Team You will join the Brain Stimulation & Cognition Lab at the Faculty of Psychology
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to learn) as you will interact with patients. You have experience with programming and data analysis (e.g., Matlab, Python, R) is a plus. Previous experience with EEG and fMRI data analysis is an advantage
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programming (e.g. in python). You have good communication skills (in English) and strong affinity with working in a multidisciplinary and mutli-institutional environment. Do you recognise yourself in the above
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programming skills (Python/C++); Proven interest in generative models and Explainable AI is a plus; Analytical and creative mindset, with the ability to work independently and in teams; Excellent command
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NLP, machine learning, and deep learning. Excellent programming skills (preferably in Python), with experience in fine-tuning language models and working with deep learning frameworks (e.g., PyTorch
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in the field of hybrid dynamical systems, observer design, learning techniques, and optimization. Knowledge of at least one programming language: Matlab, Python, is expected. Eager to work within a
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systems. Proven programming skills in Python, R, or a comparable language. Interest in developing methodologies to assess localized climate hazards, exposure, and vulnerability as inputs to impact-based
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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