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, postdocs, and staff, and is looking to expand its team to support the growing division. We are committed to a collaborative and supportive work atmosphere that values and provides opportunities
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the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists
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, and written communication skills evidenced by a publication record in the area of control theory, mathematical optimization, AI, or machine learning. Preferred Qualifications: Publication record in
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and Precision Health. Supporting that mission is a staff of more than 10,000, which is rooted in a culture of excellence and values innovation, collaboration, and life-long learning. To foster
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to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting
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to conduct applied research (TRL>1) in the domain of quantum computing and/or machine learning; Possibility to file patent applications within the project; Funds to employ 3 other researchers: 1 postdoc and 2
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engineering Engineering » Communication engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 20 Apr 2026 - 23:59 (Europe/Warsaw) Country Poland Type
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of Vienna). About the position: Lead the research group focusing on hybrid quantum algorithms, quantum neuromorphic computing, and quantum machine learning Build your own team (PhD students, postdocs) 4-year
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members have been working on statistics learning, granular computing and knowledge discovery, machine learning, deep learning, and specifically interpretable artificial intelligence. Many innovative
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position as Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep