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data generation and integration to study bacterial pathogenesis". Supervisor: Kemal Avican. Background and description of work tasks Bacterial pathogenesis is a complex process that requires a deep
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strong merits is experience of one or several of the following Data science tools such as Numpy, Pandas and Matplotlib. Modern deep learning frameworks, such as PyTorch or Tensorflow. Programming knowledge
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opening a PhD position in mathematics, within the WASP AI program, focusing on geometric deep learning. The position covers four years of third-cycle studies, including participation in research and third
Searches related to deep learning
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