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The project is carried out in a collaboration between Aalborg University and Siemens-Gamesa, and we are seeking a PhD candidate for a project focused on the development and application of machine
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functional safety, security, quantitative performance, and exploitation of modern machine learning technology. It is the overall hypothesis of S4OS that a full integration of model checking and synthesis with
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. To overcome this challenge, neural architecture search and other ideas within the general field of automated machine learning have been proposed. We seek one or more PhD students(employed as PhD fellow if you
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This job advertisement concerns a PhD study, which will focus on Brain computer interfacing and Tongue computer interfacing for computer control and it will be based at Center for rehabilitation
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is founded by Innovation Found Denmark. Responsibilities: In the project two main approaches are compared. One based on black/gray box machine learning methods and another one on gray/white box data
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environmental and heritable factors in a family tree of over 6 million Danes affect disease risk, to using machine learning on genetic and phenotypic data to define clusters of patients with different disease
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In line with the commitment to building a theoretical foundation of safe reinforcement learning, we are looking for a highly motivated and talented PhD student to join our team. The position is a
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Postdoc in statistics to develop Bayesian privacy metrics for synthetic health data (2024-224-05725)
one or more of these additional criteria: Synthetic data generation Machine learning Large health register data GDPR compliance rules Python Linux Valued personal competencies are: Independent and
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of AIS data to trajectories for further analyses. The open position is targeted towards ensuring the validity of the AIS data at multiple level. For this task, we envision developing machine-learning
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requires internationally recognized research experience within one or more of the following areas: communication networks control systems sound machine learning signal processing robotics antennas The main