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"Multi-modal analysis of nucleic acids from liquid biopsies for cancer monitoring” Description The Translational Onco-genomics and Bio-Informatics lab (TOBI-lab; tobi.ugent.be) at the VIB-UGent is
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, AFNI, FSL, or similar products. Experience with one or more MR imaging modalities, including but not limited to: structural MRI, such as volumetrics and FLAIR-based white matter hyperintensities; resting
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classes in the graduate and undergraduate curricula and/or similar classes, either in an in-person or online modality: ● Quantitative and Psychometric Methods ● Multivariate Statistics ● Measurement
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mindset and ability to adopt new data analysis modalities Excellent written and verbal communication skills in English. Required Application Materials: CV Research Statement describing (a) Your research
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include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow
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-aware multi-modal deep learning (DL) methods. At Argonne, we are developing physics-aware DL models for scientific data analysis, autonomous experiments and instrument tuning. By incorporating prior
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leverage graph structures to represent, integrate and analyze multi-modal data, employing advanced machine learning techniques to address complex questions in biology. The team is focusing on different
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brain aging and cognitive decline Utilize advanced computational methods, including machine learning and AI, to analyze neuroimaging data (e.g., fMRI, EEG, or other modalities) Develop and apply models
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Engineering is seeking a Postdoctoral Research Associate focused on optical signal analysis and biomarker development. Data from human subjects will be analyzed to determine brain health as well as identify
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Engineering is seeking a Postdoctoral Research Associate focused on optical signal analysis and biomarker development. Data from human subjects will be analyzed to determine brain health as well as identify