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Field
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sampling strategies in Python and C++ Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact Contribute to open-source software tools
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. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C
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LLMs (e.g. Python); Strong written and oral communication skills. Having a good command of NLP methods will be an asset. Master’s degree in Mathematics, Statistics or Computer Science, or equivalent
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results Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
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. Your Profile: A Masters degreee with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
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strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both
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, or related field. Demonstrated experience in quantitative statistical analysis, including regression and SEM. Strong skills in R, Python, or similar statistical software. Excellent written communication and
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related field Strong background in numerical methods and machine learning Proficiency in at least one programming language (Python, Julia, C++, …) Good analytical skills Good organizational skills and
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field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell data analysis
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automated platforms, including advanced robotics, specialized chemical instruments, and software with the use of Python • Overseeing and participating in research projects and platform development