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or papers from Ph.D. currently under review Experience with life-cycle costing, life-cycle environmental assessment methods and/or software Strong skills in Python (preferred) and/or a similar programming
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Development group, assess efficiency of alternative broadband X-ray absorption spectroscopy collection methods and their suitability for ultra-fast experiments Provide training to colleagues and write excellent
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for science Advancing quantum computing and networking technologies, software, algorithms and applications Evaluating or developing new and promising HPC systems and networking technologies Researching methods
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field. Demonstrated ability to perform research that addresses fundamental science questions. Demonstrated experience with computational chemistry methods including density functional theory, molecular
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information science, and applied social science research. This position is well-suited for someone interested in research design and the application of geographic principles and methods to policy analysis and
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the group are encouraged to develop new data analysis ideas and methods. The successful candidate will also be heavily involved in our ongoing project to develop and build new, high-speed data acquisition
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programming skills are essential, along with a track record of published papers and strong self-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or
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are essential, along with a track record of published papers and strong self-motivation. - Prior experience in the areas of machine learning / data-driven methods, signal processing and/or applied mathematics
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. Preferred backgrounds include nonlinear optics, quantum optics, spectroscopy, or instrumentation. Proficiency in software and coding (e.g., MATLAB, LabVIEW, Python) is expected. Applicants with a strong
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for a PhD Degree in Oceanography / Marine Science / Environmental Fluid Mechanics, or a related discipline except the dissertation at the time of application Additional qualifications (required at time of