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function such as shape manipulation. Next to all this, the candidate will also do research on entropic segregation of synthetic genomes by testing long labelled DNA molecules in nanofabricated cavities
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of neurons to become active during spatial navigation, in mice. To this aim, the candidate will investigate longitudinally - by using head-fixed two-photon imaging in combination with cellular labelling
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activities on heterogeneous platforms. This will include developing techniques and tools to monitor the current model’s quality in the absence of labels/ground truth for recently received inputs. A successful
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fluorophore labeling, and biochemical/functional characterization of GPCRs, G-proteins, arrestins, and other signaling proteins. Perform single-molecule fluorescence (smFRET) imaging of labeled signaling
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navigation, in mice. To this aim, the candidate will investigate longitudinally - by using head-fixed two-photon imaging in combination with cellular labelling techniques - the evolution of patterns
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imaging and spectroscopy. Experience with data analysis or the ability to perform basic biochemical work with proteins and DNA, e.g., fluorescence labelling, enzymatic reactions will be highly rated in
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imaging and spectroscopy. Experience with data analysis or the ability to perform basic biochemical work with proteins and DNA, e.g., fluorescence labelling, enzymatic reactions will be highly rated in
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long labelled DNA molecules in nanofabricated cavities. The project is part of the BaSyC and EVOLF consortia. We search an applicant with experience in microfluidics and a vision for conceptual novel
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for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use