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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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interview. Additional comments Location : CRISMAT, Caen, France. https://crismat.cnrs.fr/  ; Funding: 24 months, funded by the Normandy Region (“Objectif Labels d’excellence” project). Starting End 2025
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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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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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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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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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techniques. Preferred Qualifications: Knowledge of HPC matrix, tensor and graph algorithms. Knowledge of GPU CUDA and HIP programming Knowledge on distributed algorithms using MPI and other frameworks such as
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, challenging its rationalist, Eurocentric, and state-centric biases. You will analyse diplomatic, legal, and literary sources to investigate how legal labels, public emotions, and shifting notions of sovereignty
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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
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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