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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations
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reusable bioinformatics analysis pipelines for processing RNA -seq, single-cell RNA -seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing
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reusable bioinformatics analysis pipelines for processing RNA -seq, single-cell RNA -seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
would be involved in this project include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to
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mechanism and the charge transport in thin dielectric films deposited on graphene using a non-contact microwave technique ( https://dx.doi.org/10.1021/acs.jpcb.9b11622 ) and monolayer graphene ( https
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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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and new Monte Carlo or molecular dynamics algorithms for enhanced sampling is essential to bridge length or time scales over many orders of magnitude. Comparison of our simulations with the
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Job Description Are you interested in working at the intersection of optimal control, AI algorithms, and game theory, on problems that matter for real-world critical infrastructure? This PhD position
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Job Description The project focuses on the development of next-generation quantum-enhanced algorithms for predicting the electronic excited-state properties of organic molecules. By integrating
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at DTU Chemistry to work on the development of quantum algorithms tailored to noisy-intermediate scale (NISQ) and early-fault-tolerant (EFTQC) devices for the computation of core-level spectra