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ultrafast optics developments. More information is available at www.attolund.se . Subject description The positions are linked to the attosecond group at the department. The group's research includes
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lead advanced statistical analyses integrating ecological datasets with spatiotemporal modelling frameworks. The work will contribute with evidence-based data to development of ecosystem-based
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to the development of advanced AI-based techniques for radiofrequency spectral monitoring across a wide range of highly relevant applications. These applications include, but are not limited to, anomaly detection
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candidate will lead advanced statistical analyses integrating ecological datasets with spatiotemporal modelling frameworks. The work will contribute with evidence-based data to development of ecosystem-based
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acquisition and clinical interpretation. The aim of this postdoctoral project is to develop and evaluate AI‑based methods that reduce operator dependence in ultrasound imaging, with a focus on clinically
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dynamic and supportive research environment with access to world-class infrastructure, strong clinical links, and excellent opportunities for scientific development Duties The successful candidate will lead
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embedded into a cutting-edge research project dedicated to the development of advanced AI-based techniques for radiofrequency spectral monitoring across a wide range of highly relevant applications
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Description This postdoctoral position is part of the research portfolio within Mechanical Engineering and Product Development, where multiple externally funded research projects are conducted in parallel in
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related to staff position within a Research Infrastructure? No Offer Description Job description At the department of chemical engineering, research is conducted with the common objective to develop
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, chloroplast biology, or protease biology Ability to work independently and collaboratively in an international research environment, with a strong drive to take ownership of the project and develop their own