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Mathematics, in particular computation, complex systems and geometry of manifolds Python, C++, Linux Gazebo, Blender, Mujoco, ROS, and/or similar Dockers, Containerization methods, Jupyter, Anaconda, Conda and
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manifold structures and the pursuit of capturing these complex geometries within the data has proven to be a challenging task for many traditional manifold learning algorithms. While it may not always be
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under control or supervisory responsibility. Recommends changes in research, testing or experimental procedures. May be responsible for a single highly technical and complex piece of research equipment
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Vidacs to confront optimal transportation approaches to machine learning methods.• One at UNIBO in Bologna for 12 months with prof. Daniel Reomndini to learn and apply techniques of manifold learning
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embedding derived from AI (eg DeepWalk, node2vec, Transformer Networks or Autoencoders) will be tested, providing an interpretation of KG elements useful for manifold learning or geometric deep learning