28 parallel-computing-numerical-methods "MIT" Postdoctoral positions at The Ohio State University
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-cloud computing platforms, digital agriculture, and advanced cyberinfrastructure. The lab develops and evaluates novel computational methods, software platforms, and data-driven workflows that enable
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postdoctoral researcher to develop and apply artificial intelligence methods for three-dimensional biological image data. The position is for one year. Biological imaging increasingly produces
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science problems are especially encouraged to apply. The successful candidate will contribute to the development of next-generation AI methods for geophysical imaging and monitoring, advancing both
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process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments, analyze data, and communicate your findings through journal publications and
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experience working in Unix/Linux computing environments; experience managing and analyzing large genomic, epidemiologic, or clinical datasets; strong written and oral communication skills; ability to work
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analysis. Skill related to the analysis of large-scale datasets (e.g. many Tb) Knowledge of MC generators and detector simulations Strong software skills in e.g. c++ and python for scientific computing
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University. The ideal candidate will demonstrate a record of excellence in one or more core areas of quantum information, such as quantum computing, quantum algorithms, quantum simulation, quantum
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includes developing novel methods to minimize false discoveries in de novo TE annotation, adapting existing TE annotation methods to cater to diverse species with varied TE landscapes, integrating
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, conducting home visits, Knowledge of desktop computing, Microsoft Office suite products, statistical software (e.g., SPSS, R/RStudio). Experience working collaboratively with others. Desired Experience
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Department: Arts and Sciences | Microbiology Administration This position researches theoretical and experimental methods for development and use of microfluidic and nanofluidic approaches towards