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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 6 days ago
LevelPhD or equivalent Specific Requirements PhD degree in computer science or a related field; programming skills in Python; experience with data visualization and human-centered computing; experience with
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information encoding and computation in neocortical circuits. The successful candidate will lead an ambitious project on synaptic and circuit mechanisms of sensory processing in primary visual cortex (V1
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to visualize key performance indicators, patient volumes, and program outcomes for stakeholders. Develops dashboards for program operations and research. Designs and develops statistical analysis for research
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on new and available data sets. Assists in data acquisition and experiment setup. Develops data visualization tools to display meaningful features. Decodes neurophysiology of cognition using Neuropixel and
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NIMH-funded longitudinal functional MRI (fMRI) study of threat perception in children. Other current lab projects include analysis of extant fMRI datasets related to visual perception, as well as fMRI
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engineering research since 2016. MNMT- Dublin has particular focus on instruments development and high precision manufacturing combined with optical and bio-medical technologies applied in optical image, visual
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Do you want to contribute to top quality medical research? We are seeking a highly motivated postdoctoral researcher in computational biology to join the Xu Landén group at Karolinska Institutet
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multidisciplinary research group focusing on breast and prostate cancer. The group consists of three senior researchers, three associate researchers, one biomedical scientist, as well as PhD students and master’s
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projects integrating omics, clinical and medical imaging data, contributing to biomarker identification and the development of computational approaches for healthcare. Key responsibilities include analysis
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Description Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and