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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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outlined here . Both positions will in addition have to Take responsibility for teaching and supervision of students at the BSc, MSc and PhD levels. Provide research-based consultancy to authorities
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activities will include supervision of student projects at different levels (BSc, MSc, PhD) As formal qualification you must hold a PhD degree (or equivalent). You must contribute to the teaching of courses
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integrative methods that combine health records, molecular phenotypes, and genetic data to explore disease aetiology. This position is part of the Pioneer Centre for SMARTbiomed, a national research initiative
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decade HLA class II antigen presentation has been accurately described and methods developed that predict this event with a high level of confidence. In comparison, a detailed understanding of the rules
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Applications are invited for a post-doctoral position to develop and apply advanced mass spectrometry and data analysis methods to investigate plant-microbe interactions in soil, within the research
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environmental modelling, including data science methods such as AI and machine learning Proficiency in GIS and R programming or similar Effective communication skills and experience working with authorities
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be widely implemented in clinical programs. Job description The aim of this position is to develop new chemical methods for the modification of nucleic acids. This includes the design and synthesis
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(XAI) methods to improve the understanding of key drivers controlling peatland conditions and ecosystem functioning. The research project will primarily focus on implementing and merging analyses
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability