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, single cells technologies including 10x Genomics platforms and otthers. The facility maintains several dedicated servers and HPC resources for data processing, and the post holder will take a leading role
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) Reproducible research software (Git, workflow tools, documented pipelines; HPC/cluster use) Track B: High-throughput cell-phenotyping & cell sorting (choose a combination) Flow cytometry / spectral cytometry
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modeling of quantum computer systems. This can be either a holder of a PhD in computer science and/or engineering (computer architecture and HPC related topics) with knowledge in quantum computing or a PhD
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for scientific applications. Also required is strong experience from employing specialized HPC libraries as well as developing scientific applications using languages such as C++ and Python. Also required is that
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: https://careers.hprod.onehcm.usg.edu/psp/careers/CAREERS/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&Action=U&FOCUS=Applicant&SiteId=3000&JobOpeningId=288982&PostingSeq=1 If the link
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, able to target HPC and the above novel architectures Your Profile: Master’s degree (preferably with subsequent PhD degree) in physics or a related field at the start date (ideally with a background in
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have strong skills in Python, C++, or similar languages, with a track record of writing clean, maintainable code. You are comfortable working with numerical models, simulation workflows, HPC environments
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techniques emerging from research teams and elsewhere. A3 Breadth and/or depth of knowledge of programming languages (including Python, R, C++, Java, Julia, C), frameworks, platforms and tools, high
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resources to researchers at the University of Chicago. It is dedicated to enabling research by providing access to centrally managed High-Performance Computing (HPC), storage, and visualization resources
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). The project combines genomic, epigenomic and 3D chromatin profiling (ATAC-Seq, easySHARE-Seq, ChIP-Seq, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative