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with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental
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of groundwater-model concepts and parameters, calibration, sensitivity analysis, scenario analysis and uncertainty assessment. Programming and data-analysis skills in a reproducible scientific workflow
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(particularly computer vision), (2) machine learning for data analysis, (3) sensor technologies (e.g., electromagnetic sensors), (4) design and integration of mechanical/electrical devices; and an interest in
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laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW, or Matlab for instrument control/data processing is required, but you do not
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this project, in collaboration with the two PIs (Jelmer Borst and Leendert van Maanen). We envision that you will: (1) develop a standard HMP analysis protocol and use that to analyze and label existing data, (2
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HAICu project to help unlock the potential of cultural digital archives through multimodal use, providing richer context and a more comprehensive analysis of current complex issues in society. If
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, geometric data analysis, and infinite-dimensional geometric structures. The two postdoctoral researchers will work closely together, together with professors Rafael Bailo and Mireille Boutin, to develop
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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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comfortable working with optics, fluidics, detectors, light sources or related laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW
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duties and responsibilities include: computational (meta)genome mining and quantitative data analysis of biosynthetic and catabolic genes and clusters, pathogenicity genes and other functional genes