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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 20 days ago
Engineering, Computer Science, or Bioengineering. Knowledge of image processing and image analysis, preferably applied to medical imaging (e.g., segmentation, feature extraction, geometric reconstruction
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, computational modelling, clinical psychiatry, and experimental medicine. You will work on the EXIBIT (EXcitation–Inhibition Balance Imaging using Twin modalities) study, a collaborative project between the
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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new research collaboration with Ames Lab focused on studying the mechanisms of biomass degradation using multimodal imaging techniques. This position will specifically focus on the use of single-walled
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. We guarantee access to top-notch instrumentation and well-equipped laboratories. Responsibilities 1. Sample preparation 2. Measurements (DLS, FCS, Quantitative Imaging) 3. Data analysis 4. Reporting
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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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(PET) imaging at the Department of Chemistry . The position is for a fixed-term period of 3 years with the possibility of a 4th year with career-promoting work (e.g. teaching at the Department
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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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models and metrics for fairness in decentralized environments. Develop prototype systems and perform experiments on real-world datasets and platforms. Publish research outcomes in high-quality venues and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
into practical tools, guidelines, and prototype implementations. Furthermore, the candidate may contribute to broader research efforts, including digital chart compilation workflows, geospatial data processing