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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 3 hours ago
modalities Developing and applying polygenic risk scores and causal inference models to predict disease onset, progression, and treatment response Implementing machine learning and statistical genetics
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language (spoken or signed), to investigate changes in Cortical Tracking of Speech (CTS) across time and modality Analysing functional and structural brain recordings Writing research papers under
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coherence, optical), including cross-modal fusion and modality distillation • Design a causation analysis framework combining deep learning with causal discovery & inference to quantify the influence
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developing advanced data analysis services for (spatial) single-cell omics and multimodal data. The position offers a chance to work across diverse data modalities and to build expertise in integrating omics
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field Strong interest in multiscale neuroscience and translational research Experience with MRI analysis (preferably in rats) Skills in data analysis, programming, and quantitative methods Interest in
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on an exciting Wellcome-Trust funded project. The research focuses on decoding neural representations across dynamic brain states through advanced computational analysis of large-scale neural recordings. What you
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Research Project“ Transforming Cardiac Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data” as a PhD-Position in machine learning. You will work alongside leading experts
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: Participation in monitoring activities and collection of biological samples; Data processing and analysis; Maintenance of equipment and compliance with safety protocols; Contribution to the preparation of reports
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rotor blades? Great! Perhaps you have already carried out modal analysis and have experience in working scientifically. Are you familiar with programming languages such as Python and eager to pursue a
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rotor blades? Great! Perhaps you have already carried out modal analysis and have experience in working scientifically. Are you familiar with programming languages such as Python and eager to pursue a