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the NTNUs competence matrix as a guide for documentation of your competence. Joint work will also be considered. If it is difficult to identify your specific input to a joint project, you must include
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computation, probabilistic machine learning, latent-variable models, unsupervised learning, or matrix and tensor factorization is an advantage. Experience with computational methods for large or high
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Bayesian computation, probabilistic machine learning, latent-variable models, unsupervised learning, or matrix and tensor factorization is an advantage. Experience with computational methods for large
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this as well. It is important that you both document and reflect on your competence. You are encouraged to use the NTNUs competence matrix as a guide for documentation of your competence. Joint work will also