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Field
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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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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 28 days 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
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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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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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, implementation, and evaluation ● AI in public management, government operations, and public service delivery ● Algorithmic decision making, accountability, and transparency ● The responsible and ethical use of AI
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methods for additive manufacturing applications, including ANNs and evolutionary genetic algorithms for process optimization supported by programming knowledge (e.g. Matlab, Python). Hands-on experience
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have the potential for treating certain genetic diseases and cancer. Co-authors are dr hab. eng. Umesh Kalathiya from the ICCVS, University of Gdańsk and prof. Sławomir Makowiec from the Gdańsk
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neighbourhood exploration in combinatorial optimisation: Research in randomised optimisation algorithms, including evolutionary algorithms, tabu search, and many other approaches also collectively known as meta
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Primary Duties & Responsibilities: Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
acoustic propagation that are applicable to a wide range of ocean environments. (40%) Lead efforts to translate propagation and uncertainty models into computationally efficient algorithms that can be