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academic record plus a high degree of proficiency and motivation for selected research area Have been accepted or have applied for a postdoctoral training at a leading overseas university in a research area
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Bayesian inference, data assimilation, inverse modeling, and/or probabilistic machine learning to geoscientific or ecological models is highly desirable. Experience in high performance computing and handling
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Position Description The Department of Statistics at Harvard University invites applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high
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in communication and information studies. Its communication program ranks among the top four globally and is the best in Asia. Similarly, its information studies program is ranked among the top three
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-envelope phase/offset, balanced homodyne detection; keywords in theory includes: relativistic quantum information science, quantum field theory, quantum optics, quantum fluctuations of the vacuum, Unruh
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high performance computing · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work effectively as a team · Excellent written and oral
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experimental results and project updates at internal meetings, and contribute to recommending next steps for experiments. Take an active role in strategy discussions related to projects. Maintain a high level of
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environment at the workplace. Pro-active, result oriented and high performance capabilities. Employment in the position is based on a comprehensive assessment of all qualification requirements applicable
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research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program . Application Materials Required: Cover Letter, Resume/CV, List
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for and is granted admission to the Faculty’s doctoral programme in Technology within three months of starting in the position. The doctoral programme includes relevant courses corresponding