Location: Zurich, fixed-term, 10%-30%
The chair focuses on research primarily in the fields of applied international and public economics, as well as applied econometrics. Our research outputs are disseminated mainly through presentations at international conferences and workshops, as well as publications in leading academic journals in economics.
We possess fully vectorized data of numerous musical scores, with each score represented as a matrix. The objective is to pairwise compare n-grams (snippets of fixed size) across all these scores to establish similarity scores for each pair of pieces.
Given the substantial size of the data, the problem needs to be approached in a simplified manner:
We are seeking a student proficient in both C++ or RUST as well as Python.
Existing Python routines can accomplish the tasks laid out for full matrices, but the following adjustments are necessary:
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Location : Zürich
Country : Switzerland