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advance, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https
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, programming, or software/database development Excellent programming skills, preferably in Python Good communication skills and ability to work in teams Excellent English skills written and spoken Desirable
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background in thermodynamics and phase behavior of complex mixtures Excellent programming skills (e.g., Python, C++, Fortran, or similar) Experience with COSMO-based methods, including parameterization, model
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the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience
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mandatory: Experience with bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like
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maintaining technical documentation. Training and managing part-time (student worker) developers. We expect expertise or, at least, knowledge of the following technologies: Linux and Python (Django) JavaScript
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(e.g., R, Python). Proven ability to publish at a high international level. It is a prerequisite that you are good at communicating in English. Strong collaborative skills and good collaboration skills
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languages such as Python or R. Experience with machine learning, systems biology, or network modeling approaches. Previous expertise in human cardiometabolic or complex diseases, with domain expertise in but
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Stata; Knowledge of R, Matlab, Python, and/or Fortran; Experience working with micro data, ideally administrative or matched employer–employee data; Documented research track record at international level
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programming skills (particularly in C/C++ and Python) Documented knowledge in industrial robotics and kinematics Ability to work independently as part of an agile team, with a strong sense of responsibility