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Field
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and translation to practice in new applications. Qualifications: Must have a PhD or equivalent in engineering or mathematics. Must be able to undertake full-time research and scholarship. Must be able
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are looking for - Selection Criteria: Essential: A PhD in a relevant discipline such as Applied Statistics, Mathematics, Bioinformatics, and/or Computational Genetics, Data Science. A demonstrated track record
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scientific exchange with collaboration partners of the project Preparing reports, scientific papers, and presentations Job Requirements: PhD in mathematics, physics, computer science, or a closely related
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recognition in the field. Job Requirements PhD in Computer Science, Mathematics, or a related discipline. At least two years postdoctoral experience. Extensive publication record at leading cryptography and
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background in landscape ecology, geography or even landscape architecture is helpful, the work is expected to lean heavily on mathematical, statistical and quantitative analysis of the LiDAR data to not only
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in Computer Science, Mathematics, or a related field. Strong publication record in leading cryptography and theoretical computer science conferences. Demonstrated ability to conduct independent
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. Qualifications – (Essential): PhD in Data science, Biostatistics, Applied Mathematics, Health services research, Public Health, Population Health sciences, Epidemiology, or related discipline Knowledge
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Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date. Candidates will need to have completed
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: A PhD in Physics, Computer Science, Mathematics, Machine Learning or relevant fields. Strong publication record in top conferences/journals, such as Nature Physics, Nature Communications, PRL, T-PAMI
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have a PhD and, ideally, a postdoctoral experience in computational chemistry, biophysics or related discipline with the demonstrated ability to develop and pursue innovative computational research