Morten Hjorth-jensen

Professor Of Physics at University of Oslo (UiO)

Oslo, Norway
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Summary

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Senior
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Morten Hjorth-Jensen is a computational and theoretical physicist with over three decades of academic experience, currently a Professor of Physics at the University of Oslo and formerly a faculty member at Michigan State University. His work centers on quantum many-body theory, theoretical nuclear physics, and the intersection of computational methods with emerging fields like quantum computing and AI/ML. He combines deep analytic training (PhD from UiO) with extensive numerical expertise, developing scalable computational approaches to complex quantum systems. Morten’s career includes postdoctoral research at Nordita and the European Center for Theoretical Nuclear Physics, reflecting a strong international research network. Known for translating abstruse many-body problems into practical algorithms, he brings both foundational theory and modern computational practices to bear on open problems in physics. Based in Oslo, he continues to bridge academic research, mentoring, and computational tool development for the physics community.
code11 years of coding experience
job9 years of employment as a software developer
bookUniversity of Oslo
bookNorwegian University of Science and Technology
languagesItalian, English, German, Spanish, French, Norwegian
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Github Skills (37)

algorithms10
computational-physics10
particle-system10
machine-learning10
unsupervised-learning10
deep-learning10
html10
neural-network10
quantum-computing10
decision-tree10
logistic-regression10
support-vector-machine10
random-forest10
jupyter-book10
monte-carlo10

Programming languages (6)

CSSC++RTeXHTMLJupyter Notebook

Github contributions (5)

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Display of daily teaching material as jupyter-book at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html
Contributions:27 commits, 27 pushes, 1 branch in 2 months
jupyter-bookmachine-learning
We include here the information for the FRIB-TA summer school on Machine Learning
Contributions:182 commits, 177 pushes, 1 branch in 4 months
machine-learning
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