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research and data analysis Good communication skills in English, both written and oral A critical and independent working attitude TU Delft (Delft University of Technology) Working at TU Delft means
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experience with experimental techniques, especially in optical microscopy and colloidal particle synthesis, is considered a strong asset. Programming and Data Analysis: Working knowledge or hands-on experience
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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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, data analysis and scientific communication. You’ll have the opportunity to attend conferences, contribute to publications, and co-supervise Bachelor’s and Master’s students—building both your research
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main responsibilities will be shared between two main research activities (approximately 70%-30%): Large-Scale Survey Development & Data Analysis for Ex-Post Assessment: Develop and deploy a structured
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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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23 Jul 2026 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Application Deadline 15 Oct
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good command of spoken and written English. Experience with data analysis in astroparticle, particle or cosmic-ray physics is an advantage Familiarity with machine learning may be useful, but is not
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in neuroimaging methods. You have experience with computational modelling and/or quantitative data analysis, preferably using tools such as Python, R, MATLAB or similar software. You have an affinity
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of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together. For more information, see www.universiteitleiden.nl/en/science and http