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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
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areas such as energy technology, laser spectroscopy, medical technology, and electronics and systems engineering. The Department is now seeking a postdoctoral researcher to develop fabrication process for
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at least one of the areas of data privacy, machine learning is required. A successful candidate is expected to have a scientific and result-oriented approach to your work. A very good command of
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genetically manipulated using CRISPR technology, in vitro. They will analyze cells and tumors through imaging, next generation DNA sequencing, single cell RNA sequencing, and other molecular techniques
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of the project The laboratory is mainly interested in RNA-biology and particularly to understand how regulatory RNAs function and control microbial virulence. In this project, we aim to identify small molecules
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to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims
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must have taken relevant higher education pedagogical courses. Requirements: Doctorate in computer science, mathematics, or similar. Strong command of both written and spoken English language
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interdisciplinary collaboration. Organizationally, the position in question will be affiliated to either Faculty of Medicine or Faculty of Science and Technology. Departmental affiliation will be decided in