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Field
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landscapes. The research will cover the following tasks: Critical review of current compliance levels in ESA projects: data analysis of the outcomes of project reviews conducted since the introduction
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coordinate the BEACON-HD field experiment, from the design of data collection instruments to implementation, analysis and interpretation of results, in close collaboration with consortium partners across
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status of tomatoes for human health. You will generate dedicated (single-cell) transcriptional data sets feeding into the MNase-defined cistrome occupancy (MOA-seq) analysis of transcription factor binding
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, environmental sciences, public health, sociology, or a related field. Experience with quantitative data analysis, including the analysis of survey data and environmental measurements, and proficiency in
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radiation simulation toolkits such as Geant4 and its application, GRAS (Geant4 Radiation Analysis for Space). ESA is a signatory member of the international Geant4 Collaboration together with CERN and a
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an ambitious research agenda and collaborate closely with the FIRM PhD candidates, Nationale‑Nederlanden and other partners. Designing and implementing a data collection protocol for flood damage observations in
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. Strong background in MRI, NMR, spin physics, magnetic resonance relaxation, or a related area. Experience with experimental research and quantitative data analysis. Experience with MR pulse-sequence
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processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude for team work and excellent communication skills in spoken and written
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measurement techniques and PIV. Familiarity with optics, lasers, image processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude
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analysis, and digital biomarkers. The department has a strong data science environment, with an additional team of three to four data scientists working across related cardiovascular research projects. As