25 modal-analysis-artificial-intelligence Postdoctoral positions at Aarhus University
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practice, this means leading groups composed of a few students in different projects and includes guiding them during experiments, data analysis and in the writing of research documents. You are also
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Are you interested in environmental science and risk analysis and protecting the marine environment from contamination from dumped munitions? We invite applications to a unique exciting opportunity
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for use in modelling and analysis. Running model simulations (training will be provided). Analysing simulation outputs and presenting results through data visualization. Qualifications We are looking for a
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We are seeking highly motivated applicants for a 1-year postdoctoral position (with the possibility of 1-year extension) in the area of Goal-Oriented Semantic Communication and Edge Intelligence
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methane concentrations Bioelectrochemical systems Sensitive oxygen measurement methods, including electrochemical microsensors and optodes Transcriptomic sequencing and bioinformatic analysis
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will represent a gradient of Ne. In addition to standard bioinformatics work the project encompasses analysis of demographic history and Ne, estimation of inbreeding and genetic load, and eco
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-disciplinary analysis, modeling, and development of continuous improvement loops that advice researchers of possible solution pathways. At AU, a digital twin platform software called the Digital Twin as a
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work of the research group, it will include elements of method development within sample preparation, instrumental and data analysis, quality assurance/control and semi-quantification, in the context
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, and grid balancing for renewable power integration. A key line of work is the creation of intelligent, modular, and scalable battery pack concepts for urban electromobility—covering everything from mid
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academic qualifications at the PhD level in bioinformatics, computational biology, biomedical sciences or a related field. Documented expertise in scRNA-seq analysis and familiarity with spatial