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foods, particularly legumes, as sources of choline. The work will involve the development and validation of validate a method suitable for the extraction and quantification of choline and the analysis
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and validation of validate a method suitable for the extraction and quantification of choline and the analysis of choline contents of selected raw materials and foods. Additionally, the effects
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which investigates and develops a new plural valuation assessment framework combining approaches such as natural capital accounting, cost-benefit analysis, participatory mapping, and multi-criteria
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intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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collaborations linked to the TRACE project The exact balance between analysis, fieldwork, and supervision can be adapted to the postdoctoral researcher’s expertise and interests. Requirements Applicants should
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and in the analysis of real-world datasets Experience in interdisciplinarity and good collaboration skills Ability to develop and pursue independent research questions Fluent English skills APPLICATION
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at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks
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of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed
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solutions that promote human health and sustainable food systems. We have strong expertise in the analysis, reactions and bioaccessibility of vitamins as well as bioprocessing and managing the chemical and
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expertise in the analysis, reactions and bioaccessibility of vitamins as well as bioprocessing and managing the chemical and physical properties of raw materials throughout the food production process. This