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outils de programmation tels que Python et Matlab est attendue, ainsi qu'un bon niveau d'anglais, à l'écrit comme à l'oral.A strong background in geomechanics, along with advanced skills in numerical
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(i.e. machine learning, neural nets, LLMs). Prepare results and design figures for reports and presentations. Manage and manipulate data using requested languages, including Python, R, MATLAB, and STATA
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of Research Experience1 - 4 Additional Information Eligibility criteria - Publish scientific results - Exchanges with international scientific colleagues - Statistics and skills in programming (Python, Matlab
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-molecule microscopy, or programming/data analysis (e.g., Python, MATLAB) is a strong plus but not strictly required. Selection process Vul contactpersonen aan in stap 1 "Context vacature" en hergenereer deze
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engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Programming skills in Python and Matlab. Experience on CST Studio Experience on ADS/Momentum Hands-on PCB design skills Specific Requirements
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-based models for biological and medical image analysis. Processing, interpreting, and presenting experimental data (using tools such as SPSS, and Python Pandas). Contributing to scientific publications
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or equivalent Skills/Qualifications Programming in C, C++, Python and Matlab/Simulink, good knowledge of control theory, signal processing, automation, robotics, and industrial IT, knowledge of the design and
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or equivalent Skills/Qualifications Good knowledge of control theory, signal processing, radiocommunication and antenna theory, programming in C, C++, Python and Matlab/Simulink, knowledge of the design and
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equivalent Good knowledge of acoustic waves Good numerical simulation skills Good programming skills (Matlab, C++ or Python) Strong written and verbal communication skills We regret to inform that only
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mechanics, or advanced material behavior. Programming skills (e.g., Python, MATLAB, Julia,..), ideally with experience in numerical methods or scientific computing. Familiarity with machine learning