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background in at least one of the following areas: Biomedical Engineering, Biomedical Informatics, Biostatistics, Computer Science, Electrical and Computer Engineering, Mathematics, or a related field. The
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Postdoctoral Research Engineer: Innovative Engineering and Automation for Single Cell Metabolomics 1
look beyond the borders of their own discipline. The research carried out at the Faculty of Science is diverse, ranging from artificial intelligence, computer science, mathematics, astronomy, physics
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Mathematics, Statistics or Computer Science obtained within the last 5 years. Applications are open immediately and will be reviewed on a rolling basis until the position is filled. The position becomes vacant
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problems and wave propagation from nano to kilometre scales. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer
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looking for a Postdoctoral Research Associate who has: a PhD in a quantitative field (e.g., physics, mathematics, computer science) interest and experience in simulating and analyzing multivariate time
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researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
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closely with the Department of Mathematics at Aarhus University. In addition, your organic chemistry skills will be instrumental in developing antioxidant artificial cells. These interdisciplinary projects
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scientific partners Publication of results in form of scientific papers and presentations at international conferences About you: Scientific university education in Mathematics with PhD or similar Skills and
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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
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techniques in interfacial science; and mathematical techniques and computer programming for data analysis. Considerable skill in working interactively and productively in a multidisciplinary environment Good