102 algorithm-development-"Multiple" "NTNU Norwegian University of Science and Technology" Fellowship positions at Harvard University
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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Harvard OTD (Business Development, Intellectual Property, Alliance Management etc.)? Questions? Please contact Sona Barthakur and Charles Li .
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Details Title Postdoctoral Fellow in Marine Molluscan Phylogeny and Venom Evolution School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology Position Description
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise
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Instructions: The position is funded for multiple years, with an initial one-year appointment and the expectation of extension contingent on satisfactory progress. Start dates are flexible. To apply, please
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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University seeks outstanding postdoctoral fellow applicants with expertise in biomolecular engineering or science to develop hierarchical self-assembly of hundreds to thousands of distinct DNA origami
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. Combining operators You can combine the operators above to fine-tune your results: +"artificial intelligence" algorithm +robot -machine → Shows results only if they include artificial intelligence (as an
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challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise