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Within the DFG Priority Program “Theoretical Foundations of Deep Learning” and the Munich Center for Machine Learning the research unit "Applied and Numerical Analysis " at the Technical University
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be avoided by implementing algorithms to detect defects and modulate process parameters in real time. In this proposed research, several algorithms, with a focus on machine learning methods, will be
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We are looking for a motivated student to join a Project on the intersection of Physics and Machine Learning. The position is in the Materials Simulation & Modelling (MSM) Group in the Applied
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Project Description PhD Area: - Machine Learning - Software Defined Networks - Computationally Efficient Learning - Dependable Networks and Customised Networks - Data-driven Optimization and
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techniques such as machine learning and dynamic simulation modelling towards a hybrid modelling approach is a relatively new area of research. This combination of data-based and knowledge-based modelling lends
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department at TU/e . Dr. Vlado Menkovsk is an expert in Machine Learning from the Mathematics and Computer Science department at TU/e. PhD programs at TU/e are four-year research positions, having as a primary
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systems. We combine ground-breaking machine learning with the reliable theory of the physical energy system. The area of data-driven scientific computing promises to combine statistics, time-frequency
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The Computational Cell Biology group (Prof. Martin Lercher) at Heinrich Heine University Düsseldorf, Germany, invites applications for a PhD studentship in machine learning. Applicants should have
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-year PhD project entitled ‘Machine Leaning for Advanced Manufacturing’ within the Systems, Power and EnergyDivision. Increasing demand for the development of high-performance tyres with complex designs
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. The Van de Plas lab is offering PhD positions in signal processing and machine learning for multimodal imaging, to build 3-D molecular atlases of human tissue. The positions have a special focus on spectral