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.) The research responsibilities can be adjusted according to the background of the applicant. Familiarity with quantum optics theory and/or experiments is a definite advantage. Teaching experience will also be a
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of Management Studies at Aalto University School of Business (http://management.aalto.fi ). The department comprises several highly competitive research groups in organization and management theory, strategy
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quantum optics theory and/or experiments is a definite advantage. Teaching experience will also be a valuable asset. What we offer We offer the applicant the opportunity to conduct research in a vibrant and
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of Management Studies at Aalto University School of Business (http://management.aalto.fi ). The department comprises several highly competitive research groups in organization and management theory, strategy
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theory and theory of metric spaces (with Korte). The positions are associated with Research Council of Finland projects Commutators, compactness, and application; Finnish Centre of Excellence in
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Bioinformatics and
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: Bioinformatics, biostatistics, and health data science General computer science: programming, algorithms, and theory Software engineering The candidates must hold a doctoral degree in any of the areas listed above
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projects of the MQS group. Our recent research has focused on the theory and applications of variational quantum algorithms and quantum machine learning. We also have activity in quantum optics, so
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Engineering at Aalto University explores synergies between nonlinear control theory and machine learning to provide formal guarantees on performance, safety, and robustness of complex systems. We are a part of