7 modal-analysis-machine-learning Postdoctoral positions at Linköping University in Sweden
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together with Jendrik Seipp, Senior Associate Professor in Artificial Intelligence at LiU. The research projects for the advertised position will be in the areas of automated planning and machine learning
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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characterization methods (potentially including electrochemistry, multiple microscopy modalities, quartz microbalance, impedance spectroscopy) as well as surface modification and characterization and protein
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channels and cellular excitability. Moreover, extensive experience of expressing ion channels in oocytes from Xenopus laevis, using two-electrode voltage clamp, electrophysiological analysis, and site
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project Imaging flow cytometry is a state-of-the-art quantitative flow-based image analysis technique. The combination of fluorescence microscopy and flow cytometry enables high-throughput imaging of cells
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curious and motivated postdoc with a PhD in biomedical engineering, physics, materials science, organic chemistry—or similar—and a drive to explore new frontiers in science. 👉 Learn more and apply here