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monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we are now looking for a Postdoctoral Fellow with
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
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Do you want to contribute to groundbreaking research in the intersection of battery systems and data-driven optimization? This is an exciting opportunity for a postdoctoral position at the Division
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of artificial intelligence (AI)-based spectral monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we
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to the development of several innovative doping methods. More broadly, the research aims to understand and control how molecular interactions, ions, and charge transfer processes determine the electronic properties
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implemented globally. The research includes optimization of the electrochemical processes for mercury removal as well as safe and efficient retrieval of the removed mercury and regeneration of electrodes
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for an expert in mass-spectrometry based proteomics who will work alongside our biochemists and microbiologists on detecting and optimizing casein PTMs . Who we are looking for The following requirements
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for industrial application. You will develop materials and processes enabling this technique to be scaled up and implemented globally. The research includes optimization of the electrochemical processes
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to be employed for the degradation and mineralization of per- and polyfluoroalkyl substances (PFAS) in water streams. At KTH, the focus is on the design, fabrication, and optimization of cavitation
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Information about union representatives, see https://liu.se/en/work-at-liu/help-for-applicants . Application procedure Your application must be received no later than 30 March, 2026. We welcome applicants with