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Field
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experience is required. If the applicant graduated more than 1 year ago from a PhD or MD training program, minimum of one (1) year of experience with high throughput biomedical or neuroscience research
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
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development, and High-Performance Computing (HPC). The postdoctoral researcher will have opportunities to engage in these areas in support of physics goals. Key responsibilities Lead and contribute to ATLAS
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opportunities for high-impact publications and grant development. Key Responsibilities Perform computational analysis of large-scale omics datasets, including proteomics, transcriptomics, and related modalities
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of monolithic High Voltage CMOS sensor chips for operation in high-rate and high-radiation environments; Design and qualification of off-chip electronics; Commissioning and operation of precision assembly
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focused on advancing computational methods for synchrotron, free-electron laser (FEL), and related scientific challenges. SciQC combines expertise in mathematics, numerical algorithms, high-performance
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a high-performing workforce through competitive compensation and career development including career pathing, coaching and skills development. Recognize and reward exceptional performance based