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this area will also be considered. The ideal candidate should be proficient in scientific programming (e.g., Python or MATLAB) and have a genuine interest in developing and testing experimental setups
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and analytical skills; experience in programming, e.g., in C++, Python or Matlab (experience with programming of sofware defined radios and/or off-the-shelf communication modules is a plus); a creative
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project focus. Technical computing skills: Strong programming skills (e.g. Python, C++, MATLAB). Experience with robotics software frameworks such as ROS, Gazebo, or other simulation environments is
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sensors (sonar, camera, inertial units) and their limitations would benefit this project’s focus. Technical computing skills: Proficiency in programming (e.g. Python and C++). Experience with robotics
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. Documented experience with any project in the blue bioeconomy domain, with Life Cycle Assessment, and with programming for data science(R, python) will be considered a strong plus. Proficiency in English is a
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protein design programs and analysis tools is crucial. Knowledge of programs like Rosetta, RF-diffusion, FoldX and python is necessary. Apart from very good modeling skills, knowledge in protein production
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processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; Familiarity with the basic concepts
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candidate should hold a Master's degree in either Data Science, Applied Mathematics, Business Administration and Economics or a related field with strong programming skills, particularly in Python. Priority