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Job Description: The Electronic Production and Design Department at Berklee College of Music seeks a part-time faculty member to teach Live Coding and Algorithmic Performance. This course explores
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. They are key players in several cross-disciplinary institutes, centers, and programs at Georgia Tech, including PhD programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and
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to candidates with teaching or research interests in: Algorithms Science of Programming Computer Vision Machine Learning Qualifications Applicants must have: A Ph.D. in Computer Science, Data Science, Artificial
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/equilibrium reconstruction from limited, noisy diagnostic measurements. Scenario Optimization: Develop plasma scenario optimization workflows leveraging nonlinear programming, genetic algorithms, and
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-specific data structures (e.g., linked lists, dictionaries, classes and objects). Ability to leverage standard algorithms and patterns when writing code. Ability to write good test cases and automated unit
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, pathways, and targets associated with Alzheimer's disease, Parkinson's Disease, and other neurological traits by performing deep molecular phenotyping (genetics, transcriptomics, proteomics, epigenomics
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ensuring that the data are of high quality and running algorithms to identify genomic alterations. The goal of this research is to result in a published manuscript. Basic Qualifications BS in computational
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combinatorial optimisation: Research in randomised optimisation algorithms, including evolutionary algorithms, tabu search, and many other approaches also collectively known as meta-heuristics, has long favoured
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to enable long-term maintainability and sustainability of the software; apply appropriate domain-specific algorithms and programming techniques to advance software engineering in research computing. Provide
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
preserved at ambient temperature provided it is protected from light and humidity. Goal The goal of the project is to develop an algorithm to allow robust retrieval of data in the context of DNA-based data