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to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep
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the next generation of gas turbine engines. Successful candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods
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Considered Knowledge of CUDA. Knowledge of PyTorch or a similar deep learning framework Experience writing software trigger infrastructure. Experience mentoring more junior researchers Physical Requirements
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: Preference will be given to candidates: With a track record of publications related to task planning for robotics. With training and experience in the use of deep learning and large language models
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 months ago
equivalent doctorate (e.g., Sc.D., M.D.) Preferred Education Skills and Experience: Ph.D. in design-related discipline, specializing in deep learning and biometrics. A strong background with evidence of
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systems where the candidate played an active role together with familiarity with deep learning methods. EVALUATION CRITERIA The selection will be based on the following criteria: CV: 50% Experience in
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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databases - Experience in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - Strong record of publications
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information on certificates and diplomas issued abroad, please see Degree equivalency Experience Solid experience with computational modelling development. Experience of machine learning and deep learning is a
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research with direct application to improving pain care, opioid stewardship, and substance use treatment across clinical and public health settings. Fellows will gain deep expertise in advance pharmaco