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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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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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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
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Laboratory. This is an opportunity to be part of a team helping with the design of new system software and runtime infrastructure to improve the performance and energy efficiency of future scientific computing
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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separately labelled for the user. Systems will be tested with instruments of varying degrees of contamination with the identified partners. Technical challenges / skills. 1. Practical integration/adaptation