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, statistics, applied mathematics, numerical oriented geosciences, or related field with strong quantitative focus; Strong background in machine learning methods such as neural networks and transformers
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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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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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rhetoric of techniques and methods in urban planning; Has demonstrated experience with qualitative research methods, such as interviews, ethnography, and/or document analysis; Can do basic numerical
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challenging, especially in dunes with complex topography. Your job In this 2-year postdoc position, you will use numerical modelling and machine learning techniques to increase the accuracy of coastal dune
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remains challenging, especially in dunes with complex topography. Your job In this 2-year postdoc position, you will use numerical modelling and machine learning techniques to increase the accuracy of
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methodological needs of HTA bodies to existing and newly developed methods, in a system that is useful in practice. Examining how health technology developers are using GenAI in the preparation of national
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combination of field work in the North Atlantic Ocean, laboratory experiments and numerical modelling. A scientific cruise with our research vessel Pelagia will allow us to investigate CaCO3 – P interactions
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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