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Field
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computing and scalable algorithms • Decision science and learning health systems design Qualifications Required: • Ph.D. in Systems Engineering, Industrial Engineering, Operations Research, Computer Science
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) • Contributing to analyses of agency, responsibility, trust, mental privacy, and algorithmic bias in neuroAI systems • Collaborating with technical partners on issues of transparency, interpretability, and
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to develop and translate advanced computational tools that directly impact patient care in a clinical environment. Responsibilities: Develop GPU-accelerated dose calculation and optimization algorithms
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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
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mission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells to tissues and
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 3 months ago
for matching and aligning anatomical structures Where to apply Website https://umfst.ro/info-studenti/studii/doctorat/cercetatori-postdoctorali/ Requirements Research FieldOtherEducation LevelPhD or equivalent
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experts. You will design imaging sequences and develop beamforming and signal processing algorithms to achieve ultrafast frame rates and detailed visualization of cerebral vasculature. You will work closely
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, and participate in outreach activities that will be generally, but not exclusively, related to your research topics. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of
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, computer vision and machine learning algorithms. · Information dissemination and decision-support services · Policy related analysis and investigation · Previous interactions with transportation funding
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters