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datasets or wildlife imagery Familiarity with data annotation tools and practices for large-scale datasets Knowledge of model deployment and optimization (e.g., ONNX, TensorRT, model quantization) Experience
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Computer Science, Mathematics, Physics or a related field Knowledge in Neuromorphic Computing or Computational Neuroscience is a plus Experience in mathematical modelling Excellent programming skills and experience
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position In this role your responsibility is
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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
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contributor, mentor's other lab members, and completes performance appraisals. Contributes broad knowledge of the field, strong leadership skills, technical proficiency, and scientific creativity. Works both
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system models. In technologically detailed energy system models, these requirements are increasingly leading to challenges due to the rapid techno-economic development of the modeled technologies
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JOB SUMMARY The Physiological Acoustics Lab (http://escabilab.uconn.edu) at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience
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patient outcomes through cutting-edge AI technologies. Key Responsibilities: Conduct research on efficient foundation models via knowledge transfer for medical image analysis, including MRI, CT, X-ray, and
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Università Roma Where to apply Website https://web.uniroma1.it/trasparenza/bandi_concorso_tab/80 Requirements Skills/Qualifications Knowledge of University regulations regarding the protection and enhancement
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. Maintain knowledge of advances in AI, computational modelling and translational medical technologies. 14. Engage in professional development and undertake other reasonable duties as required. 15. Contribute