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findings in written publications, incorporating new findings with the existing published literature. Collaborate to develop mechanistic and molecular models describing cellular/molecular mechanisms
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thereafter. The project Currently, plant ingredients are often refined to almost molecular purity - and then combined again to create structured foods. This isolation is resource intensive, and the removal
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temperature signalling in plants, such as the model plant Arabidopsis thaliana and the crop plants wheat and soybean. To unravel this, we focus on dynamic changes in protein phosphorylation status, since
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temperature signalling in plants, such as the model plant Arabidopsis thaliana and the crop plants wheat and soybean. To unravel this, we focus on dynamic changes in protein phosphorylation status, since
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molecular biology. Relevant post-doctoral experience is desirable. High quality peer-reviewed publications and a keen interest in translational regulation are essential. If you have an excellent background in
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 20 days ago
addresses these fundamental challenges by employing single-molecule fluorescence microscopy to visualize mRNAs in their cellular context. Coupling these techniques with genetic and molecular biology
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://scripps.ufl.edu/profile/carvalho-luiz-pedro/). The laboratory is recognized as a world leader and provides outstanding training in protein biochemistry and structural, molecular, and cellular biology, in a highly
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photo-bases. The work will focus on modeling of adiabatic and nonadiabatic photochemical processes to capture excited states dynamics using an array of ab initio molecular dynamics methods for excited
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candidate will advance the clinical relevance of microbiota in gynecological diseases. This position provides a unique opportunity to work in a dynamic research environment at the forefront of microbiome and
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to join a dynamic research team exploring fundamental questions about the molecular basis of cognition and stress resilience. Projects will be data-driven, using a reverse translational approach. Our recent