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& automata theory (including advanced algorithms, formal methods), and foundations of machine learning (including linear algebra and calculus). The ability to apply and generate externally funded research
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Abilities: Prior coursework in research methods, statistics, data structure and algorithms, data mining and visualizations, database management, and programming. 4 years of experience in data analytics and
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and RTL (Verilog), with High-Level Synthesis (HLS) as a key path from algorithmic/behavioral descriptions to synthesizable implementation. Provide both technical and operational leadership to the group
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in advanced machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate
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(Anthropic, OpenAI). Experience with graph algorithms or NetworkX. Familiarity with adaptive learning or educational technology. Experience with WebAssembly technologies (Pyodide, WebR). OAuth2 authentication
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analogue field tests; mathematical modelling and simulations; research and integration of novel sensors for robot perception; algorithmic design and computer programming implementation of building blocks
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analysis tools for package and chip access, imaging and security assessment. The CA team researches the design and development of advanced algorithms and tools for automatic and efficient analysis of VLSI
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of platform data handling and payload data processing equipment; the implementation, inference, verification and validation of algorithms** on data processing hardware platforms for space applications** in
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whether multi-objective optimization algorithms commonly used in engineering can help us understand how organisms adapt and evolve. You will analyze large multivariate datasets on genome sequence and
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(Employer of Record), CoR (Contractor of Record), blockchain, and payment processing while focusing innovation efforts on algorithmic demand generation and direct end-user acquisition. This KTP will directly