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Field
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point cloud techniques for geometric analysis; (b) develop and implement algorithms for 3D perception; (c) design and execute experiments to evaluate validate and refine algorithms and systems; (d
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on integrating an agentic platform for electrocatalyst discovery and developing novel machine-learning algorithms (e.g., reinforcement learning) for materials discovery and process optimization. The candidate will
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. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic modeling
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required to develop and demonstrate single-photon light detection and ranging (LiDAR) systems by integrating in‑house single‑photon detectors. The role will assess various LiDAR configurations, optimize
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language models, multimodal generative AI, and related areas. Develop algorithms, architectures, and training methods for world models, LLMs, and multimodal AI systems. Design methods for prediction
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: • Develop real-time optimization algorithms; • Model multi-vector energy-water-hydrogen systems; • Support the development of digital twins; • Test the algorithms using operational data; • Prepare a technical
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and support all aspects of the research project. Carry out algorithm development and data analysis, including (but not limited to) single-cell and bulk transcriptomics, spatial omics, proteomics, and
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developing/adapting computational models or algorithms to analyse biological data, and experience with single cell or spatial omics datasets or knowledge of cancer biology would be an advantage. What we offer
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aligned with the aims of the Terascale project. Develop and apply suitable methodologies for research for AI for science and catalyst discovery. Design, implement, and evaluate novel models, algorithms
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 months ago
data analysis, algorithm development, and the use of statistical software and data warehouses, while using pharmaceutical quality submission data. You will also develop an understanding of OPQ business