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PhD Stipend/Integrated Stipend in representation, compression, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one
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characterization, dual-comb applications, numerical simulations, and data analysis. You will play a leading role in disseminating research results and actively participate in collaborative projects. You will also
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of value-added chemicals. To this end, the PhD candidate will apply computational methods, such as flux balance analysis and genome-scale metabolic modelling, to design synthetic metabolic modules
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degree or equivalent within Public Health, Medicine, Data Science or other fields related to Epidemiology or Environmental Medicine. The ideal candidate has prior experience in working with health data, is
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. Empirical work may be complemented with additional data collection and causal designs (e.g., online experiments), as well as relevant methods (e.g., big data, panel analysis, semantic analysis, simulation
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into the current database for Denmark Econometrics and time-series analysis of the Danish data The research is expected to contribute to the understanding of financial stability and physical risks within
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, fatigue, corrosion, and biofouling ) of subsea structures. Derive limit state functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and
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biology, pharmacology and/or immunology. Experience in statistical bioinformatics, including developing analysis pipelines and applying programming (R/Python) to genomic/transcriptomic data. Strong written
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more about career paths at DTU here . Further information May be obtained from Professor Jens Wenzel Andreasen , 0045 21 32 63 01, Section for Structural Analysis and Modelling (SAM) , Department
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decarbonization challenges at regional, national, and international levels. For more information about SDU LCE, please visit www.sdu.dk/lifecycle . Qualifications We are seeking a candidate with a master’s degree