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Field
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intelligence and machine learning technologies/algorithms Background in software engineering and programming languages, data analysis and BI tools Proven experience in technical project and service management
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and financial planning tools; this includes modeling new algorithms, creating functional specifications, and testing and/or validating new financial planning tools. Collaborate with other members
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. This role will build on the success and experience of the existing team at developing a global workflow for high spatiotemporal resolution avian distributions and population trends, and for applying
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and financial planning tools; this includes modeling new algorithms, creating functional specifications, and testing and/or validating new financial planning tools. Collaborate with other members
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cooperative relationships with patients and families by projecting a positive image and creating a professional atmosphere. Develops program communications and promotional literature for distribution, including
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- Ethical and Fair AI - Human-Computer Interaction - Natural Language Processing and Large Language Models - Quantum Computing, Information, Algorithmic Paradigms, and Communication - Scientific Machine
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The relationship between the information-theoretic Bayesian minimum message length (MML) principle and the notion of Solomonoff-Kolmogorov complexity from algorithmic information theory (Wallace and
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development, front-end UI development, and/or signal processing algorithm development. This position will work on all phases of software application development ranging from requirements gathering through
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-performance computing (HPC), distributed and scalable computing, compiler technology, and algorithm optimization. Additional expertise in applying AI/ML to electromagnetic spectrum operations is desired. Duties
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distributional analysis. Models are frequently updated to reflect the latest economics and empirical research. The PWBM software stack is mostly written in Python. Some of the models require large datasets