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parallel device biofilm biorepository program — explanted device biofilm characterization, quantification and sequencing (16S rRNA, fungal ITS) — with opportunities to apply quantitative/computational
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or OpenMP. Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively parallel codes. Experience with using high performance computing for lattice
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, rheology, parallel computing and strong analytical skills. PREFERRED: Familiarity with electrolytes; or experience with AI-based chemical discovery. Research scientist position will be offered
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. Major responsibilites: The candidate will work independently to purify recombinant IDR constructs and label them for F19-NMR analysis. In parallel, the candidate will use Python for bioinformatics
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. Experience with heterogeneous and parallel computing technologies, programming models, or accelerators, including CPUs, GPUs, FPGAs, and emerging computing technologies. Familiarity with quantum software
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and epigenetic manipulation of AML cells and massively parallel reporter assays to investigate gene regulation in leukemia. Computational analysis of these data will involve applying existing tools and
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seeking a highly motivated Postdoctoral student with experience in molecular biology, biochemistry (preferably of membrane proteins) and quantitative biophysical and/or computational approaches to examine
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National Laboratory is hiring an Experimental Physicist Postdoctoral Fellow within the ESnet division. We are launching a new multi-platform quantum computing and networking effort within ESnet, in
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modeling. This position offers a vibrant research environment with access to world-class high-performance computing clusters and opportunities to collaborate broadly across the departments of Physics
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genetics. Our research program uses integrative genomics approaches to define the molecular mechanisms by which genetic variation shapes endothelial cell biology and confers risk for coronary artery disease