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Key products include deployed prototype systems, communication and spectrum sensing systems, machine learning algorithms, physics-based modeling and simulation tools, and system analyses.
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The new appointee will apply and constantly improve his experience and skills in analysis of additively manufactured parts both experimentally and theoretically, using modeling and simulation, finite element analysis (FEA), ML/AI methods, and vibrational resonance spectroscopy to characterize the status of parts based on their vibrational spectra.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g., Python, MATLAB, R, NONMEM, SAS, S-Plus, etc.
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Applying expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.
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We develop cutting edge sensors and mission systems, high bandwidth communication systems, large-scale simulation systems, space and satellite systems, avionics virtual machines as part of high fidelity digital twins that will improve the future of software development, airplane and flight controls, cyber security solutions, artificial intelligence, machine learning, and much more.
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Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
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We develop custom software products in domains that include computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, computational electromagnetics (CEM), space situational awareness (SSA), high performance computing (HPC), and computer aided design (CAD) tools, among others.
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Proficiency with deep learning tools and at least one machine learning tool, such as Hadoop, Apache Spark, TensorFlow, scikit-learn, or cloud-provider equivalents. Coaches and mentors others by example and through direct coaching on machine learning and artificial intelligence skills.
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This position serves as a Modeling and Simulation Engineer providing direct support to the Missile Defense Agency Directorate of Test, Wargames and Exercises Division (MDA/DTW.
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Responsibilities and Contributions Organizational and Leadership Role Coaches and mentors others by example and through direct coaching on machine learning and artificial intelligence skills.
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Fundamental knowledge and/or experience developing and applying algorithms in one or more of the following machine learning areas/tasks: protein structure machine learning, deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
$124,596 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Postdoctoral position in machine learning for biomolecular simulation and modeling. The successful candidate will be at the forefront of integrating advanced machine learning techniques with biomolecular simulation and modeling to address complex biological problems.
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As a dedicated Senior Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction.
$248,810 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Machine Learning is at the heart of our customer support, and we are looking for a senior modeler to build high-quality support experiences. 5+ years experience with applied Machine Learning or Deep Learning.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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network security machine learning modeling and simulation jobs Title: engineer
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