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used to build neural networks using light transmission for connections and interpretation of electrical signals for memory and signal analysis. It will also include the design of nanophotonic elements
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of this project is a novel on-chip hybrid nanostructure platform for energy-efficient, fast artificial neural networks and integrated sensor arrays. The project combines several different concepts: Progress in
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, or enrichment and biomarker analysis of extracellular vesicles in blood samples. More about our research group - bme.lth.se Work duties The work tasks are primarily to assist the research group in their research
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applications such as isolation of circulating tumorcells from cancer patient derived blood samples, or enrichment and biomarker analysis of extracellular vesicles in blood samples. More about our research group
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research activities, contributing to data collection and analysis, preparing reports or documentation, and collaborating closely with faculty, researchers, and students in relevant projects. This position
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processing and analysis. CIPA is also the coordinating unit for Lund University's InfraVis node, consisting of around 10 people with complementary expertise. InfraVis and CIPA provide all employees with
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Biomedical Science with focus on Cardiovascular Research at the Faculty of Health and Society, Malmö University The project and work duties The successful candidate will join the research leader at Malmö
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across nine universities. CIPA is Lund University’s local infrastructure for image processing and analysis. CIPA is also the coordinating unit for Lund University's InfraVis node, consisting of around 10
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environmental pathogen detection and who has experience in wastewater analysis. About the position You will be part of the Swedish Environmental Epidemiology Center (SEEC) within the Division of Microbial Ecology
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global academic and industry network🌟 Who we’re looking for:- A curious, ambitious researcher with a strong background in signal processing, wireless systems, mathematics (statistics, linear algebra