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The Department of Mathematics and Mathematical Statistics is opening a PhD position in mathematics or mathematical statistics, focusing on geometric deep learning. The position covers four years
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the WASP AI program, focusing on geometric deep learning. The position covers four years of third-cycle studies, including participation in research and third-cycle courses. The last day to apply is 10 June
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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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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science is now looking for a Doctoral student in machine learning for continuous
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an equivalent manner, have good experience with laboratory work and method development. Experience in machine learning/deep learning, the most used ML frameworks (such as Keras or TensorFlow), the programming
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mechanisms behind ET are unknown but involve an overactivity in the brain areas that control body movements and coordination in general. The pathology may look different for different subgroups of ET. Deep
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science is now looking for a Doctoral student in machine learning for continuous
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project involves training in state-of-the-art cryogenic electron microscopy (cryo-EM) data collection and processing. The PhD student will also learn how to prepare challenging samples and characterize
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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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, there has been an increase in activities surrounding the exploitation of shallow-water polymetallic nodules which are significantly easier to extract that those found in the deep sea. Yet in this context