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multimodal data. Your responsibilities include: Developing and applying machine learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
algorithms to estimate human shape and motion in images, videos and RGB-D sequences. Our approaches define the current state of the art, and we are constantly pushing these methods and systems in order to
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statistical methods to large-scale medical datasets (EHR, imaging, genomics, clinical trials). Design algorithms and predictive models to advance diagnostics, medical devices, healthcare access, and
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young versus older adults using EEG. Analyses will focus on Event-Related Potentials, time-frequency analysis and functional connectivity measures within a cognitive-motor dual task paradigm. To enhance
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to better predict incident disease from high-dimensional genetic and non-genetic data, quantification of trait heterogeneity and asymmetry from imaging data, leveraging biobank genetic and prescription data
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include: Technical publications Industry and government conference presentations Course development and delivery Direct customer engagement Prototype tools and methodologies Requirements You have BS in
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2 Mar 2026 Job Information Organisation/Company University of A Coruña Research Field Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Positions Postdoc Positions
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2 Mar 2026 Job Information Organisation/Company Bucharest Universty of Economic Studies Research Field Economics Researcher Profile Established Researcher (R3) Positions Postdoc Positions
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2 Mar 2026 Job Information Organisation/Company Bucharest Universty of Economic Studies Research Field Economics Researcher Profile Established Researcher (R3) Positions Postdoc Positions
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models of cancer, optical microscopy and spectroscopy, and image analysis in the Department of Biomedical Engineering. The SRA will oversee and manage the work of graduate students and undergraduate