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Field
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. The postdoc will develop machine learning algorithms to analyze phenotype and sequence data, as well as active learning algorithms to optimize and control experiments in directed evolution. This position
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. In particular they will play a leading role in algorithm emulator development and maintenance as well as coordinating the definition and testing of interfaces to the Level-1 Trigger system. It is
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Automated Program Repair (APR) is the grand challenge in software engineering research. Many APR methods have shown promising results in fixing bugs with minimal, or even no human intervention. Despite many studies introducing various APR techniques, much remains to be learned, however, about...
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existing literature to address this gap. The student tasks will be to prepare the registration documents (e.g., PROSPERO), refine and test the search algorithm in relevant databases, import search results
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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optimization of dynamic, uncertain, and multiscale systems. Guide the design and implementation of numerical algorithms, optimization routines, and simulation-based decision tools. Support project-based learning
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for biomolecular systems, including prediction of protein-ligand, protein-protein, and antibody-antigen structures and affinities, and protein conformational ensembles. Design active learning algorithms and
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laboratory automation. Experience in laboratory process automation, algorithm development and machine learning and artificial intelligence (AI) applications. Experience in laboratories with quality management
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expressing the mathematical properties of existing algorithms in preparation for publication and peer review. The algorithms are written, tested, and functioning. Timeline is ~3 months. Compensation
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: Nonexempt Work Schedule: Flexible Summary The intern will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in our cluster computers. Overall, the position