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competencies Applicants should have an excellent foundational knowledge of wireless communications, machine learning, signal processing, and information theory, complemented by strong mathematical and analytical
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Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing
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documented by a PhD dissertation and/or research publications a solid theoretical and analytical understanding of text culture, AI, and related fields experience of empirical research methods, such as corpus
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degree in food physics/food science/in vitro digestion and similar Documented expertise in using advanced physical techniques on soft matter Have a good understanding of advanced analytical techniques (MS
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degree in food physics/food science/in vitro digestion and similar Documented expertise in using advanced physical techniques on soft matter Have a good understanding of advanced analytical techniques (MS
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analytical chemistry and with a preference to a strong background in chemistry. Candidates with practical experience in non-target analysis and data analysis workflows, gas chromatography of very volatile
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to software engineering, robotics, and artificial intelligence. The Software Engineering section encompasses a range of research areas in software development, data analytics, and intelligent systems, and it
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the field of environmental analytical chemistry and will focus on technical and conceptual developments in non-target screening , primarily of per- and polyfluoroalkyl substances (PFAS) . Building on previous
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
the field of environmental analytical chemistry and will focus on technical and conceptual developments in non-target screening, primarily of per- and polyfluoroalkyl substances (PFAS). Building on previous
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of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct of tailored studies. We have performed such studies