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for candidates with interests in multiscale simulations of complex physical phenomena, from the atomistic/electronic scale to mesocopics and beyond. Of particular interest is the development and application
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complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims
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(including remote work) are generally possible by agreement and in line with tasks and on-site requirements The position is initially limited to 3 years. Depending on your qualifications and assigned
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, DNA methylation, RNA-seq, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic
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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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University of California, Los Angeles | Los Angeles, California | United States | about 22 hours ago
teaching or proven expertise in the following specializations: microeconomic theory, macroeconomic theory, statistical methods, econometrics, big data, and finance. Ph.D. is required. The posted UC salary
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the project uses large-scale social media data to measure the extent of secondary victimization in high-profile cases of gender violence. Then, using administrative crime data, the project estimates the causal
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astroparticle physics, particle physics, and mathematical physics. The Astroparticle and Cosmology group (https://astrocosmolapth.com ) conducts research on cosmic large-scale structure, cosmic microwave and
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accepted all year round Details Future intelligent systems will involve the deployment of large-scale sensor networks in which hundreds or thousands of microsensors, unexpensive, small and lightweight
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of interest include, but are not limited to, stochastic, discrete, large-scale, and data-driven optimization, machine learning methods for sequential decision making, or stochastic modeling and prescriptive