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expertise in data analysis, machine learning, deep learning, natural language processing, big data, quantitative analysis, and data visualization, as well as proficiency in relevant programming languages and
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growth: https://clas.wayne.edu/biosci/research. The Department of Communication Sciences and Disorders offers accredited programs (BA, MA, AuD, PhD) and extensive clinical and research opportunities
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the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the … Where to apply Website https://www.academictransfer.com/en/jobs/356464/postdoc-deep-learning-based
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experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . Applications received after the deadline will not be considered. All interested candidates irrespective of age
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expertise in research and development in the following areas of AI and Data Science : Machine and deep learning, NLP, BDI (Belief-desire-intention) systems, and Large Language Models (LLMs). Expertise in
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position within a Research Infrastructure? No Offer Description The Division of Synchrotron Radiation Research (http://www.sljus.lu.se ) is a part of the Department of Physics and has more than 50 employees
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Science. Commitment to undergraduate and graduate education. Demonstrated expertise in machine learning/deep learning and software development (Python; PyTorch/TensorFlow). Peer-reviewed publications and strong
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should possess a PhD in Computer Science or related area. We are looking for candidates who have publications in top conferences like NeurIPS, ICML, ICLR, CVPR, etc. A strong background in deep learning
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For Applied Energy Res Work Location Lexington, KY Grade Level 52 Salary Range $107,994-183,581/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information
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leadership. Unlike a traditional software engineering role, this position requires deep scientific engagement, technical leadership, and hands-on system building, from early design through a fully usable