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. Knowledge of Python, web scraping, and text analysis would be an advantage. - Flexible, self-motivating, independent and able to manage multiple tasks efficiently. - Proficient in English. - Strong interest
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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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second-class honours degree (or equivalent) in neuroscience, computer science, engineering, bioinformatics or related fields. Strong Python and/or R skills and clear communication are essential; experience
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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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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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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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skills (e.g., R, Python). The ability to communicate in English is also required. Previous experience in research work, applying different measurement methods, and laboratory work, knowledge of forest and
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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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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