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Position: PhD scholarship in Tensor Networks for Machine Learning
Institution: Technical University of Denmark
Location: Kongens Lyngby, Lyngby‐Taarbæk Municipality, Denmark
Duties: As our new colleague, your job will be to develop novel computational frameworks for machine learning by use of tensor network representations. In particular, you will push the boundaries of; Scalability, drawing upon recent large-scale TN capabilities in physics; Reliability, exploring uncertainty quantification and robust inference in machine learning; Explainability, leveraging identifiability and unique recovery explored using tensor decompositions within the life-science domain
Requirements: A strong relevant background within machine learning and mathematics; Extensive experience programming in Python (or Matlab); An active interest or experience in strong collaborations and interdisciplinary work at the intersection between machine learning, physics and life-science data modeling
   
Text: PhD scholarship in Tensor Networks for Machine Learning As our new colleague, your job will be to develop novel computational frameworks for machine learning by use of tensor network representations. In particular, you will push the boundaries of; Scalability, drawing upon recent large-scale TN capabilities in physics; Reliability, exploring uncertainty quantification and robust inference in machine learning; Explainability, leveraging identifiability and unique recovery explored using tensor decompositions within the life-science domain A strong relevant background within machine learning and mathematics; Extensive experience programming in Python (or Matlab); An active interest or experience in strong collaborations and interdisciplinary work at the intersection between machine learning, physics and life-science data modeling
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