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programming, preferably using python or R Experience working with fMRI data Experience working with PET data Familiarity with git and GitHub Familiarity with best practices in reproducibility and open science
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must be proficient in at least one (or more) major programming languages (e.g., C++ or Python) and be able to write well-documented, clean, and maintainable code; excellent English proficiency is
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natural sciences in a subject relevant to NanoMAX Demonstrated knowledge of experience with nanoprobe scanning and/or coherent techniques using X-rays Good Python programming skills, a working knowledge of
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written communication skills in English. Solid programming skills in Python. Experience in machine learning or deep learning implementation. Meritorious qualifications Experience in image analysis
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data analysis (including coding in R, Stata and Python). Management (with SQL), with special emphasis on machine and deep learning methods, referencing software (e.g. Endnote). Excellent written and oral
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of environmental modeling tools (e.g., PHREEQC, MATLAB, or Python). Experience in international collaborations or fieldwork in marine or environmental studies. We are an international research group and publish
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and maintain scripts (Python or equivalent) for automation and monitoring Provide user support and collaborate with researchers to ensure efficient system usage Ensure efficient management and analysis
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and practical skills in the field of data science, especially multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability
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or Python) and familiarity with advanced analytical techniques (e.g., causal inference, machine learning, time-to-event analysis). Interest in medicine or clinical epidemiology and capability to transfer
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deployment of research-grade AI tools. Proficiency in Python (and preferably R); experience with data engineering for omics, containers, CI/testing, and high-quality visualization/reporting. Strong publication