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Field
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performance computing facilities and actively encourage cooperation and or collaboration with the researchers who develop the numerical solvers used. The PhD fellowship is given in accordance with Danish
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performance and/or high throughput computing Expertise in the theory and usage of high-level Bayesian and/or frequentist statistical data analysis techniques, including stochastic processes and machine
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to study the fundamental properties of molten salt materials to meet scientific objectives Debug and profile applications for high performance Conduct research and report results in journal
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to study the fundamental properties of molten salt materials to meet scientific objectives Debug and profile applications for high performance Conduct research and report results in journal
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, or a similar scripting and visualization language. Experience with high performance computing. Strong competence in programming with C/C++ or Fortran for model development & debugging. Competence in
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internationally recognized pioneer in ferroic smart materials ( 300+ publications; 30,000+ citations ), CASM has established global leadership in strain-glass physics and high-performance piezoelectrics
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are renewable, with a maximum total duration of three years, contingent on satisfactory performance and continued funding. Responsibilities* Develop and apply analytical pipelines integrating high
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genetics Human genetics Population genetics Evolutionary genetics Bayesian statistics Machine learning Large-scale genomic data analysis High-performance computing Experience in human population genetics
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Associate category) $2,000 in discretionary funds with opportunity to apply for additional internal funds Access to shared research facilities and high-performance computing Protected time and programmatic
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career stage. Experience with High-Performance Computing (HPC) clusters, geospatial foundation models, large-scale geospatial processing or cloud-based Earth Observation platforms would be advantageous