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modelling, or machine learning). Proficiency in statistical programming (e.g., R, Python, Stan, or similar). Experience developing and managing longitudinal studies. Evidence of contributions towards
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proficiency in programming languages (e.g., Python, C/C++), knowledge of control algorithms and/or existing architectures (e.g., ArduSub, ROS2) for autonomous navigation, and the ability to develop innovative
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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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, modeling and simulation of industrial processes. Proficiency in chemical process simulation software (e.g., gPROMS, Aspen, DWSIM, UNISIMDESIGN). Strong programming skills in Python aConditions: The person
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include cloud based Trusted Research Environments (TREs.), Microsoft Azure, SQL, Python and Git. You will be based within the Faculty of Health and Life Sciences, reporting to the CHIL CTO, and will work
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, calibration, reproducibility) Implementing and maintaining Python-based data processing and analysis pipelines Quantitative interpretation of nanoscale microstructure data in deformation–precipitation
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and experience equal to ten years. Knowledge, Skills & Abilities : 2+ years of experience developing AI applications in production environments Proficiency in Python LLM/RAG related libraries
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analysis using Python. Organized and methodical in data collection and lab management. Ability to work alone or with others. Reliable and committed to the lab. Previous experience as a lab manager. Previous
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spatial statistics or clustering analyses (e.g., fuzzy k‑means) Ideal candidates will have experience with: ArcGIS Pro, QGIS, or Google Earth Engine Python (rasterio, geopandas, numpy), R, or similar Remote
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Power BI Programming: R, Python, and/or SAS for Statistics Excellent communication skills Demonstrated successful experience working directly with people from diverse backgrounds, including cultural