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Field
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, and testing of software prototypes and algorithms related to security, privacy-preserving technologies, and digital trust. Conduct comprehensive literature reviews on state-of-the-art methodologies
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efficient transmission and robust communication. This work involves formulating rigorous analytical models, designing efficient algorithms, and establishing performance characterization methods that drive
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the intersection between quantum information and particle physics. The successful applicant will work in Professor Carlos Argüelles’ group on the development of new algorithms to encode and process particle physics
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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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at the interface of optimization, geometry, and machine learning Designing, implementing, and testing algorithms Engaging in scientific exchange with collaboration partners of the project Preparing reports
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(30%) Assist in the design, planning, scheduling, and coordinating laboratory and field experimental works in support of various research projects (7%) Program coding, machine learning algorithms
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algorithms for fluid-structure interaction solvers What you will do Independently develop numerical methods and codes for fluid-structure interaction of wind-powered ships Carry out and analyse high-fidelity
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 22 days ago
Scaling: Developing data-fusion algorithms that combine VSWIR spectroscopy with active radar/lidar, thermal, and atmospheric retrievals to scale plot- and tower-based flux measurements to pan-tropical
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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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that important physical properties are fulfilled in the numerical solution. Ultimately, PANum will lead to a computational algorithm that reliably simulates two-phase flow. The postdoctoral project will be part of