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: Microscopy, histology, and image analysis to phenotype root anatomy. Plant and root physiological measurements to determine the function of root phenotypes. Genome-wide Association Studies (GWAS) and
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Statistical analyses of long-term zooplankton data Integration of imaging technologies like FlowCam, Planktoscope, Zooscan in the assessment of plankton biodiversity Organization of the Plankton LTER
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and IT develop innovative radiopharmaceuticals and novel tools for functional characterization, improved imaging and personalized treatment of tumors. The Department of Department Life Science
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technicians in the lab Performance of advanced analysis techniques, including flow cytometry, cell sorting, single cell sequencing, high-parameter biomarker analysis, imaging techniques. data analysis In
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any scientific field of the project. Our Principal investigators commit to hiring the postdoc on a 100% position for the two year period (for this call, the duration will initially be until the end
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image analysis to phenotype root anatomy Plant and root physiological measurements to determine the function of root phenotypes Plant cultivation (maize) in the greenhouse and field Keep informed with
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Description If you love vision research and cutting-edge imaging technologies, consider joining the AO Vision Laboratory at the University of Bonn as PhD student. We are seeking enthusiastic and
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 1 month ago
Scientific university degree in neuroscience, psychology, biomedicine, computer science or a related field Experience with imaging procedures (e.g. MRI, fMRI pre-processing) Thorough knowledge of data
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medical machine learning for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and build their early scientific career. About
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analysis, specifically Focused Ion Beam-Scanning Electron Microscope (FIB-SEM) imaging, through data assimilation and model calibration. The goal is to develop physics-informed neural network models