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Tag Archives: deep leaning
PhD student position, University of Geneva (Computer Science) and University of Applied Sciences (Open position)
We have an opening for a PhD position. The research target is the development of deep generative models that can incorporate strong domain knowledge within the learning process. Such domain knowledge, typically available in scientific fields, can be encoded in … Continue reading
Posted in recruitment
Tagged deep leaning, generative modeling, job openings, machine learning, phd, phd in machine learning, phd student
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Jason to present DAB
A couple of months ago Jason Ramapuram interned in Apple Machine Learning Research. Among other things, he worked with Russ Webb on a novel method allowing for the use of simple non-differentiable functions at intermediary layers of deep neural networks. … Continue reading
Posted in news
Tagged collaboration, conference, deep leaning, Jason, Jason Ramapuram, paper, presentation
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Multiple PhD positions in machine learning with simulation and physics modeling of the world (closed)
We have several PhD openings in machine learning research for exploring methods to combine learning with process-driven modeling and simulations. The interaction and cooperation between a simulator and a machine learning model can be exploited in a number of areas where data are expensive or difficult to obtain, and/or where domain knowledge within the process-driven models can back the inductive biases factored into the machine learning models. In the medical domain, machine learning methods can be combined with neuromechanical simulators to develop models of human locomotion that shall support critical medical decisions related to surgical interventions treating pathological gait patterns. In industrial manufacturing, simulations and physical modeling of realistic or extreme operational conditions can support the learning of rare faulty behaviours in order to trigger early alerts. In chemoinformatics, an external system (e.g. RDKit) can provide relevant constraints for generating valid new molecules with specific required characteristics.
Posted in recruitment
Tagged deep leaning, job openings, machine learning, phd, phd in machine learning, phd student, recruitment
Comments Off on Multiple PhD positions in machine learning with simulation and physics modeling of the world (closed)