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Field
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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
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., Python, MATLAB) for data analysis and model development. Willingness and ability to conduct cadaveric dissection studies. Excellent organizational and communication skills, essential for managing large
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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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open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you will contribute: in the application of the developed
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signal processing. Experience in programming (Matlab and/or Python and/or C). Analytical mindset. Hands-on approach. Good interpersonal and interdisciplinary communications skills. Proven autonomic
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technology experts work together to build a framework on open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you
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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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master’s degree in a relevant field (e.g., cognitive neuroscience, biomedical engineering, biological psychology) experience with programming (e.g., MATLAB, Python) hands-on experience with neuroscientific