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. The focus will be on enriching statistical methods through advanced machine learning techniques, for instance, by learning latent representations of the data. In addition to utilizing such techniques
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form of topic modelling as a method for automated content analysis. Topic models are a probabilistic method that allows organizing the contents of a text corpus into a set of semantically coherent
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frameworks and methods such as 1D-CNNs, transformers, or chemometrics for spectral analysis is highly valued, though applicants with strong backgrounds in physics, physical chemistry, or analytical chemistry
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-brain function. As such, you will collaborate with an enthusiastic team of PhD students and postdocs from the lab of Mark Verheijen, as well as from other labs of the consortium at the VU and AUMC
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/postdoc-molecular-and-cellular-… Requirements Specific Requirements We are looking for a highly motivated, critical, and creative candidate to join our group. The preferred candidate: holds a PhD in
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://www.academictransfer.com/en/jobs/359802/postdoc-in-hybrid-intelligence-… Requirements Specific Requirements PhD in Computational Linguistics, Computer Science or Artificial Intelligence At least two of the following
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to apply Website https://www.academictransfer.com/en/jobs/359469/postdoc-in-reinforcement-learni… Requirements Specific Requirements a PhD in mathematics, operations research or computer science a strong