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Education Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
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You will work with teams to address key questions through quantum computing algorithm experimentation and development efforts on various in-house technological platforms. The position is offered to candidates with a recently awarded Ph. D. in Applied Mathematics, Computer Science, Quantum Information Theory, Theoretical Physics, or a related field required.
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Education - Bachelor's degree in Molecular Biology, Biology, Chemistry, Applied Mathematics, Physics, Electrical Engineering, Computational Biology, Biostatistics, Bioinformatics, Computer Science or related discipline; postgraduate degree (Master's, PhD) is highly preferred.
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MS degree in Electrical Engineering, Computer Science, Applied Mathematics, Statistics, or related field, plus 2+ years of experience in applying software engineering solutions featuring machine-learning, to the problem types described above.
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The primary purpose of the Associate Data Scientist position is to assist researching and assisting researchers in creating high impact imaging and pathology machine learning algorithms for the Tumor Measurements Initiative (TMI.
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Should have a record of academic excellence, including demonstrated experience in most of the following areas:Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;Engineering: controls, estimation theory, digital signal processing, and machine learning;Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;Probability: statistics and random processes.
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Recent projects have involved the physics of Inertial Confinement Fusion (ICF), turbulence and fluid instabilities, atomistic and continuum models of transport, planetary defense, diagnostic development, computational solid and fluid dynamics, chemical physics, particle and radiation transport algorithm development, and uncertainty quantification.
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The Mixed Signal Solutions department at HRL Laboratories is a highly talented team of scientists and engineers with diverse backgrounds in integrated circuit design, advanced packaging and integration, novel signal processing and algorithm development, and integration / characterization of highly complex digital and mixed signal systems and subsystems for commercial and government applications in an innovative research and development environment.
$158,400 - $198,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with physical modeling, underwater acoustics, wave propagation, signal processing and/or sonar; detection, localization, tracking and classification algorithms and applications; applied mathematics, machine learning, uncertainty modeling and/or statistics; developing in a Linux environment; high-performance, GPU, or cloud-computing experience.
$110,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Fluency in using mathematical optimization or machine learning, including algorithm design, continuous and discrete optimization, stochastic analysis, supervised and unsupervised machine learning methods, and deep learning, to develop solution methods to be used by in-house decision support tools and software.
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A Ph. D. in Electrical Engineering, Data Science, Computer Science, Applied Mathematics, Mathematics, Machine Learning, Artificial Intelligence, Software Engineering, or related field is required.
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Bachelors degree in Engineering, Physics, Applied Mathematics, or other related field. Background in image and signal processing, both algorithm design and implementation. MA/MS in Engineering, Physics, Applied Mathematics, or related field.
$100,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Based on a laser produced plasma (LPP), our light source relies on a wide range of unique and challenging technologies, ranging from laser light amplification and high-power optical systems to laser produced plasma for EUV generation, electro-optical signal detection and algorithm-based actuation for process control.
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Assist computational scientists in bridging the gap between applied research and software engineering; supporting mathematical modeling, numerical analysis, algorithm development, analysis, validation, and visualization of results.
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We are looking for applicants with an interest and background in applied engineering, modeling and simulation and machine learning to support the development of algorithms and systems for autonomous and semi-autonomous vehicles.
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