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international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push
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experience and enhanced potential to receive an ERC Starting Grant in the future. Open to both PhD (natural sciences) and MD (medical sciences) holders. From a variety of academic backgrounds: molecular
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-capacitors, additive manufacturing, and energy technologies, in addition to the aforementioned. The department is an exciting environment, where you will be exposed to many different fields and have your
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of neuromorphic systems for different types of onboard sensing and processing tasks in the space environment. Your research will be guided by your own expert judgement and insight into current trends in AI hardware
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collaboration with an interdisciplinary team including biologists, pedologists and other experts. You will work with various types of spatial data collected from multiple sources and at different scales. We
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, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science
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academic staff and postdoctoral researchers from over 20 different countries. Our research aligns with the needs and challenges of industry and society. We achieve this by advancing knowledge in: advanced
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the contribution of different proteins to parasite transmission. You will uncover new biology for the important parasite. You will have the opportunity to engage in meaningful collaborations
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factors in Bacteroides. Projects include identifying the genes regulated by each of the 32 different HTCS transcription factors in B. thetaiotaomicron; identifying regulatory networks for preferential
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data