10%-30%, Zurich, fixed-term
The chair focuses on research primarily in applied international and public economics, alongside applied econometrics. Our research findings are disseminated chiefly through presentations at international conferences and workshops, as well as through publications in prestigious academic journals in the field of economics.
We have fully vectorized data representing a large number of musical scores, each depicted as a matrix. The objective is to conduct pairwise comparisons of n-grams (snippets of fixed size) across all these scores to derive similarity scores for each pair of pieces.
The data size is substantial, necessitating a simplified approach to tackle the problem:
We seek a student proficient in both C++ or RUST, as well as Python. While Python routines currently exist for executing the aforementioned tasks with complete matrices, the following adjustments are required:
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For further information about CAE, please visit our website: ETH Zurich Homepage. For inquiries regarding the position, please contact Loumeau Gabriel at (no applications).
Please note that pre-selection is conducted by our dedicated recruitment team rather than artificial intelligence.
ETH Zurich stands as one of the world's foremost universities specializing in science and technology. We are acclaimed for our outstanding education, pioneering research, and the direct application of new knowledge to societal needs. With over 30,000 individuals from more than 120 countries, our university fosters independent thinking and cultivates an environment that champions excellence. Situated in the heart of Europe, we foster connections globally to address today's and tomorrow's challenges.
Location : Zürich
Country : Switzerland