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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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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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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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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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. 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
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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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records from stalagmites which grew in coastal caves, to reconstruct the phasing of changes in the North Atlantic salinity relative to AMOC variations, and interpreting them with the aid of process models