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Field
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graph theory, network analysis, and/or machine learning modeling confer a significant advantage. This is a two to three year term position with opportunities for training in human systems neuroscience
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. UKF jobticket UKF Your challenges: develop and optimize high-throughput analysis pipelines integrate complex RNAseq, Whole Exome Sequencing and TCR repertoire high-throughput data apply machine learning
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, including Generative AI. The candidate should have completed a PhD in related topics (ECE, CSE). New York University (NYU) is one of the top private universities in the United States, and the Tandon School
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: Completed (before the position starts) PhD degree in Artificial Intelligence, or Software Engineering, or Computer Science with excellent grades. Hands-on experience with machine learning frameworks, such as
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physics or computer science, with a solid background in AI/machine learning techniques. A background in plasma transport phenomena as well as an experience with data analysis, statistical methods, and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 days ago
@iti.larsys.pt Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications Admission Requirements: to hold a PhD degree obtained in the 3 years previously
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to your expertise; What do we require? A PhD degree (or equivalent qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented
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We are seeking to appoint a Research Associate in AI with a specialism in Deep Learning. The Research Associate will engage in internationally leading research in the development of AI and machine
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Artificial Intelligence (AI)/Machine Learning tools, OR a PhD in AI/Machine Learning with experience in plasma physics or other strongly coupled physical systems. Associated research and software engineering
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damage of wheat. The project requires fabrication of the dual camera machine vision system based on artificial neural network/deep learning and quantification of alpha-amylase activity in sprout affected