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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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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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to develop a multidisciplinary perspective. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship You will contribute to security and threat analysis
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design, vector network analysis or oscilloscope measurements is an advantage. The ability to combine theoretical modelling with careful laboratory work and quantitative data analysis. Your profile for PhD
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research environment. You also have: A successfully completed MSc degree in plant sciences, bioinformatics, plant genomics or a related field Excellent data analysis skills, both for bioinformatic and
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campaigns on complex microelectronics, including developing test set-ups and subsequent data analysis, with emphasis on single-event effects on complex semiconductor devices such as field programmable gate
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comparative, connective and entangled approaches and resort to qualitative and quantitative research methodologies. For more information on the Institute for History: https://www.universiteitleiden.nl/en
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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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this project, you will design a system and develop a first feasibility prototype for such a device, based on photonic sensing technology and advanced data analysis techniques. Your responsibilities include
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The ultimate objective of this project is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover