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that has naturalized in non-native Europe range to characterize the role demographic and genetic changes may have to the evolutionary trajectory of a species introduced to novel environments. This research
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is desirable but not required. Qualified candidates are required to have a Ph.D. in entomology, ecology, evolutionary biology, or related fields of study. The successful candidate must have completed
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assist in providing customers with state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor’s complex problems
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an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Design algorithms for vehicle guidance and control in an undersea environment, including signal
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Working experience in algorithm design and implementation in software (e.g. C/C++, MATLAB, python, etc.) Understanding of data analysis, statistics, probability, and machine learning applied to IQ signals
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Working experience in algorithm design and implementation in software (e.g. C/C++, MATLAB, python, etc.) Understanding of data analysis, statistics, probability, and machine learning applied to IQ signals
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to apply. Responsibilities include: Algorithm development and/or software design Develop C/C++ or equivalent code to interface with developed hardware and associated interfaces (SPI, I2C, etc) Integration
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Synthetic Aperture Radar (SAR) data for flood events. Developing algorithms to map flood extent, and event duration. Contributing development of data-fusion methods and modeling. Assisting with proposal
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state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor’s complex problems given large sets of multivariate
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computing and artificial intelligence. Areas of interest include, but are not limited to, the following: Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks