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TEC. 2. OBJECTIVES: Collaborate with clinical partners in data collection and annotation Design and implement new deep learning solutions for the analysis of heart sound auscultation, electrocardiogram
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emerging as a promising paradigm to overcome bottlenecks in conventional computing, offering ultra-fast and low-energy information processing. Recent advances include both spiking and deep learning schemes
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 25 days ago
pipelines) Strong experience with modern deep learning frameworks (PyTorch, TensorFlow, Hugging Face ecosystem) Proficiency in training and optimizing small-to-medium scale language models Experience with
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communicate the results of your research verbally and in writing, Teach courses at Chalmers' undergraduate level, performing teaching duties corresponding to 20% of working hours, Design and implement deep
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Job Description Summary Candidates should be innovative energetic educators with three years’ experience teaching adult learners within Learning Management Systems such as D2L, or Blackboard
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to the subject is essential. This could include core topics such as programming, AI and machine learning, deep learning, data science, database management, Natural Language Processing (NLP), Large Language Models
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will work with the PI to implement and parameterize a computer vision deep learning model to classify giant kelp canopy from high resolution satellite imagery. Additional tasks will include developing
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Inclusion and Healthcare System Equity (WIHSE). WIHSE encompasses a diverse portfolio of programs aimed at fostering future healthcare leaders and advancing health equity. This role will apply a deep
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-state region in the Deep South. The UAB CCC treats over 5,000 new cancer patients annually and has an extensive effort focused on delivering cancer care and conducting research in underserved populations
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learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html