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from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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detection of ongoing attacks with well-understood AI methods used for system and network monitoring, (partially) autonomous and explainable reaction to attacks in presence of resource trade-offs and complex
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected
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science. You are expected to actively participate in the department’s knowledge environments and networks, both internally and externally. You will be part of an international research project focusing
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. At the Division of Systems and Synthetic Biology biologists, chemists, mathematicians, and engineers work together with the goal of understanding and quantitatively describing the complex functioning of living
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Are you ready to dive into the fascinating world of resilient optical transport networks? We're on the lookout for a talented Postdoc to join our dynamic, international team at the Optical Networks
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arithmetic complexity. Topics may include Arakelov geometry, birational and Calabi–Yau geometry, analytic torsion, and related height-theoretic or intersection-theoretic ideas. More details on the project
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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. Additionally, you possess solid analytical skills and approach complex problems in a structured and solution-oriented manner. The workplace You will work at the Division of Communication Systems