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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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Excellence in Research label by the European Commission. It should be specifically mentioned, however, that applicants who are invited to the audition will not receive remuneration from the university
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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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facility belonging to SciLifeLab, part of a national infrastructure for research in life science. The creative and research-intense environment contributes to a broad knowledge-base as well as cutting-edge
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, including immunohistochemical techniques for detecting antigens in tissue sections, confocal microscopy, Western blot analysis, and in situ hybridization using 35S-labeled rRNA probes. We also utilize RT-qPCR
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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
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of functional membrane proteins embedded in a micelle or lipid (nanodisc) environment Site-directed mutagenesis for site-specific incorporation of spectroscopic probes (e.g. spin labels or fluorescent labels