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MS/PhD in Electrical Engineering, Statistics, Bioinformatics, Computational Biology, Computer science, Mathematics, or equivalent practical experience. 5 years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or bioinformatics.
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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.
$113,000Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The final job offer will be dependent on candidate qualifications in alignment with Research Faculty Extension Professional ranks as outlined in section of the Georgia Tech Faculty Handbook 5 years of related experience with a Bachelor’s degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, Physics, Mathematics, or other related field.
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PhD. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, health or biological sciences. We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory.
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Background in algorithm development and implementation, medical image processing, image processing with artificial intelligence, X-ray physics, Computational Photography, and software development.
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Background in computational biology, (bio)statistics, statistical genetics, computer science, mathematics, or a related quantitative discipline desired. Research experience with large-scale data analysis, in particular -omics data such as next-generation sequencing, and algorithm development highly desirable.
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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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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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Physics, Computer Science, Mathematics, Chemical Engineering, Materials Science, Mechanical Engineering, Electrical Engineering, Mechatronics, Data Science, Other technical backgrounds. The main job function is to develop image processing, data analysis and machine learning algorithm and software to aid in development of wafer and reticle clamping systems to solve challenging engineering problems associated with achieving nanometer (nm) scale precision.
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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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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.
$151,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical knowledge of Linux computing environments, communication system theory, and radar theory - including modulation/demodulation, RF fundamentals, signal processing algorithm development, X-MIDAS programming, and digital-to-analog conversion systems is strongly desired.
$68,400 - $119,700 a yearExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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You will be: Developing Deep Learning / Machine Learning methods for HDR tone mapping, image super resolution, image noise reduction, image classification, object recognition, sematic segmentation Training and optimizing deep learning based computer vision algorithm Optimizing performance on embedded hardware accelerators Validating large-scale datasets.
$150,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago
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