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Field
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, bioinformatics or related discipline Strong computational skills, with expertise in scripting in BASH and either R or Python Experience with analysing complex datasets on high-performance compute clusters A track
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(MATLAB, Python, and LabVIEW) are welcome. Priority will be given to applicants with a proven record of cross-disciplinary research. Good communication skills and demonstrable capabilities to work
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Intelligence, or a related discipline from a strong institution. Skills: - Proficient in programming languages such as Python, with experience in using AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn
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programming skills: Python/MATLAB. Communication: Excellent writing and presentation skills for technical and non-technical audiences. Preferred: Knowledge of electricity markets, renewable energy policies. We
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and commercial tools (e.g. XCMS, MZmine, Compound Discoverer, GNPS, SIRIUS, etc). Proficiency in one or more programming languages (e.g. R, Python). Experience with continuous integration and best
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of the following areas: fluid mechanics, biology, physiology, computer vision, or other applications in engineering or biomedicine. Expertise in Python, C/C++ or other program languages. We encourage PhD applicants
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of probabilistic graphical models and/or knowledge compilation is an asset Mastery of a programming language is helpful (e.g. Python, C++, …) Have good technical reading, writing and programming skills. Have a
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if applicants have completed courses that cover these topics during their studies Good programming skills (for example Python, Java or JavaScript) and software engineering practices is a requirement. Familiarity
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during their studies Good programming skills (for example Python, Java or JavaScript) and software engineering practices is a requirement. Familiarity with real-world programming language specifications
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gene identification (MEGARes, CARD, ResFinder). Proficiency in Python, R, or Perl, with experience in Linux/Unix environments. Solid understanding of antimicrobial resistance mechanisms, horizontal gene