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physiology. Experience with molecular cloning, bacterial strain engineering or fermentation is a plus. Data analysis skills (e.g. Python, MATLAB) or experience with metabolomics and mass spectrometry are a
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, molecular cloning or bacterial genetics is a plus. Experience with metabolomics, mass spectrometry or data analysis (e.g. Python, R) is a plus. Excellent communication skills in English, both written and
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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results
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porous media. Proficiency in scientific programming (Python, C++, or Fortran) is essential. Demonstrated strong analytical and problem-solving skills, with familiarity in numerical methods and an interest
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. Programming experience in at least one language such as Python, MATLAB, or C/C++. Strong analytical, quantitative, and problem-solving skills. The ability to work effectively both independently and as part of a
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, RocScience, ...) Knowledge of scripting or programming languages (e.g. Matlab, Python, R ...) Experience in automated processing of remote sensing data and time series analyses Strong interest and basic
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relevant field. Proficiency in programming in Python and experience in PyTorch, Scikit-Learn or related modern machine learning libraries. Some working knowledge of using Anthropic/OpenAI APIs. Good writing
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tasks (Python/MATLAB) Apply computational models of behavior and cognition Analyze high-dimensional datasets (behavioral, physiological, neuroimaging) Publish in leading international journals and present
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
. Preference will be given to candidates with aptitude for working in disaster risk management environments supported with GIS and Machine Learning, basic programming skills (e.g., Python, R, or similar
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‑on experience with Python or other scientific programming tools. Candidates must have a strong analytical mindset and willingness to work across experimental and computational domains, be proficient in oral and