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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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Research, Computer Science, Mathematics, Applied Mathematics, or related fields. Proficiency in programming languages such as Python, R, or other programming languages. Familiarity with multi-agent systems
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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