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scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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the project, you will have the opportunity to collaborate with other PhD candidates and a postdoctoral researcher working on complementary topics including decision-making under data-sharing constraints
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have the opportunity to collaborate with other PhD candidates and a postdoctoral researcher working on complementary topics including energy data spaces, privacy-preserving data-sharing, governance, and
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theory. Experience with at least one programming language (e.g., Matlab or Python). Good analytical and problem-solving abilities, and a critical mindset. Motivation to conduct high-quality fundamental
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or simulation tools such as Python, MATLAB, COMSOL or equivalent software. Ability to plan experiments systematically, quantify uncertainty and document results reproducibly. Proficiency in written and spoken
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Institute for Social Science Research (AISSR). You will work closely with the Principal Investigator, the project’s postdoctoral researcher and research assistants, and international partners — including
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programming (e.g., Python, MATLAB, or similar). Experience with image analysis and/or AI methods is a plus. Strong analytical and problem-solving skills. Ability to work independently as well as in a
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using R and/or Python, with experience in data analysis, computational workflows (e.g. Snakemake, Nextflow), and relevant computational libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch
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, or prior research) Proficiency in programming using R and/or Python, with experience in data analysis, computational workflows (e.g. Snakemake, Nextflow), and relevant computational libraries (e.g., NumPy
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Center, and Diagnotix. At the Intensive Care department of Amsterdam UMC, you will join a large and dynamic research group consisting of approximately 40 PhD candidates and 5 postdoctoral researchers