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antigens from clinical specimens; Develop, optimize, and apply DIA- and PRM-based proteomics methods; Perform quantitative data analysis, normalization, quality control, and statistical interpretation of
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role of CaCO3 fluxes and acidification in global marine P cycling through a combination of field work in the North Atlantic Ocean, laboratory experiments and numerical modelling. A scientific cruise with
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and working methods across all space domains. The overarching goal of this research fellowship is to develop and study advanced theoretical frameworks for deep learning, understand their mathematical
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competitiveness. .Our vision is to be the “EO innovation hub”, connecting EO with a growing ecosystem of disruptive and transformative innovation such as AI, ML, quantum computing, edge computing
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Postdoc position in Efficient NLP for Information Extraction from News Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovations such as AI, machine learning, quantum computing, edge computing, metamaterials and photonics. Many of the
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Postdoc Position in AI Foundation Models for Crop Microbiomes Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline
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, applicable across empirical research domains. The position offers the opportunity to work on the combination of state-of-the-art scientific computing and Bayesian statistics, and to contribute to an
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hybrid approaches that combine symbolic and sub-symbolic AI methods. On the symbolic AI side, you will co-develop a typed language for constructing and querying GIS workflows. On the sub-symbolic side
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finite element libraries and numerical methods would further strengthen the application. Our offer You will be appointed for a period of maximum 16 months full-time within a very stimulating scientific