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Field
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Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written and spoken English. Desirable: Experience with photonic/electromagnetics design
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transformation. (3) Controlled Fabrication of Target Crystal Structures under EMF Employ solidification techniques and advanced digital tools (e.g., AI, COMSOL Multiphysics, and Python) to design and fabricate
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: • Knowledge of fluid dynamics, especially experimental methods in atomisation and sprays. • Programming experience (e.g. Python, MATLAB or similar). • Experience with data analysis, machine learning
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relevant discipline. Experience with modelling or simulation tools (e.g., MATLAB/Simulink, PSCAD, PowerFactory, or Python) is desirable.
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processing and image representation Demonstratable experience in python for data handling and algorithm development Desirable : Knowledge and experience with imaging systems (X-ray CT, MRI or similar
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microscopy Force spectroscopy Python programing Labview Research FieldPhysics » Biophysics Additional Information Eligibility criteria PhD in Biophysics Selection process Send your CV to frederic.cuisinier
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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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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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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