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molecular characterization of astroblastoma tumors and developing human brain tissues. You will integrate bulk and single-cell -omics data to identify the molecular consequences of oncogenic fusion genes
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. These projects span topics including the relationship between food production, environmental impact, and human health, as well as developments in agricultural robotics and automation. This environment offers broad
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with ESA policies, requirements and standards, as well as providing the related support to ESA projects in: human spaceflight safety space debris mitigation re-entry safety nuclear safety
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communicate predictions about human behaviour, contributing to trustworthy intelligent systems for high-impact applications. Job description Human behavior understanding is becoming an essential component
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tolerance and the nutritional status of tomato fruits for human health. In this project, you will investigate the tomato response to Zn and Fe deficiency and design strategies to improve the Zn/Fe nutritional
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, randomness and chaos. What makes these positions distinctive is the opportunity to pursue specialised research while being part of a genuinely interdisciplinary team. We particularly welcome researchers who
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? The successful candidate has a strong background in experimental research, good programming skills, a keen interest in human-machine communication, and is motivated towards contributing to Hybrid Intelligence. You
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planetary atmospheres. The Section also initiates and manages a wide range of related modelling, software and hardware R&D activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s
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experimental research, good programming skills, a keen interest in human-machine communication, and is motivated towards contributing to Hybrid Intelligence. You are also expected to interact scientifically with
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below and apply straightaway. Please add the following documents to your application: letter of motivation CV proof of interest in human cognition and experience of machine learning applied to neural data