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Field
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Description Implement and validate machine learning models and statistical algorithms for data imputation, anomaly detection and uncertainty management in geospatial environments. Collaborate in the preparation
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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods
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machine learning computer models (i.e. algorithms) for medical imaging, bioinformatics (i.e genomics data including single cell and spatial omics) and drug development applications. Performs analysis
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, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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systems. Responsibilities: Conduct cutting-edge research in large language model (LLM) safety, adversarial robustness, and secure agent architectures. Design novel algorithms to defend against jailbreaking
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of expertise for this position are: (1) Software Engineering (2) Computer Architecture and Operating System (3) Programming and Algorithms. Additionally, knowledge of Artificial Intelligence and Machine Learning
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to research and teaching in algorithms and computational complexity. While the focus of this appointment is algorithms and complexity, exceptional applicants from all areas of Computer Science will be
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equivalent. Proficiency in programming, software design and development and algorithms. Strong analytical, algorithmic, AI and communication skills. Proven track records of working in rapid software
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. Optimizes and extends algorithms, analysis pipelines, and software/firmware in order to establish and ensure effectiveness and reliability of integrated system. Guide and train less experienced developers
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data, complicated algorithms are required. Some of these algorithms are yet to be developed and/or validated, with real data from polar regions required in order to do so. A dedicated airborne radar