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Job Description The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark
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on the economic impacts of renewable energy based on econometric methods. The work to be undertaken is related to a project, which will draw on input-output models that are tailored to sub-national level data in
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. The pharmacoepidemiological research group utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The environmental medicine group studies
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to James McPherson (mcpherson@sdu.dk ). Application, salary etc. Further information about the PhD programme at the Faculty of Science can be found at the University’s website. The successful applicant will
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background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to demonstrate research leadership, with experience in national and
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technology and characterisation. Background within image processing, computer vision, or related fields. Background within in-line process monitoring or related fields. Furthermore, it is an additional
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals
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Associations. The allowance will be agreed upon with the relevant union. The period of employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be
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measurements A good understanding of advanced physiological techniques Experience with enzymatic in vitro assays and plant x climate interactions Experience in complex data handling and statistical analysis
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will benefit from your analytical insight. Advanced NMR methods and computational data analysis will be compounded to accelerate the understanding of reaction pathways and improved use of desired rather