11 image-processing-and-machine-learning-"RMIT-University" Postdoctoral positions at Ghent University
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researchers in the group to build and run safe and effective experimental setups to perform X-ray imaging of fluids in porous media, including experiments at elevated pressure and temperature and with gases
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methods of neural-microglia interactions, complementing already established multi-omics approaches: non-destructive fluorescence lifetime imaging microscopy (FLIM), mass spectrometry imaging and Raman
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of wind propulsion technologies in sustainable shipping and regional innovation. Collect, process, and analyse data related to regional policy frameworks and innovation ecosystems. Contribute
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, process and analyze both quantitative and qualitative data from the pilot projects. You will support the pilot partners in SMALL in completing their impact assessment and pilot analysis. WHAT WE ARE LOOKING
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thorough and advanced characterization of the materials. As a postdoc you will also hold lab management responsibilities and be in charge of the operation and functioning of several analysis instruments. You
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of the materials. As a postdoc you will also hold lab management responsibilities and be in charge of the operation and functioning of several analysis instruments. You will be involved in guiding master and junior
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website . Application procedure The application file contains: an American CV a carefully substantiated research or study proposal (personal statement) (including why study/conduct research in the US; what
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recapitulating neural-microglia interactions, as well as establishing fluorescence lifetime imaging microscopy (FLIM) approaches and analysis pipelines to perform non-destructive monitoring of neuronal function
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, and brain computer interface tasks. This project will support our goal of testing the Controllosphere Theory of cognitive effort (see doi 10.1037/rev0000467). A Ph.D. and background in computational
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Stimulation using advanced preclinical models for seizures and epilepsy. Analyze extensive datasets of neurophysiological signals, including local field potentials (LFP), unit activity and biosensor imaging