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shortly) a PhD in Immunology, or other relevant discipline in Biomedical Sciences, and a BSc (hons) in a relevant Biological Science. Extensive and up-to-date theoretical and practical knowledge in
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and experiences. You should demonstrate: Essential Criteria: Hold (or expect to hold shortly) a PhD in Immunology, or other relevant discipline in Biomedical Sciences, and a BSc (hons) in a relevant
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candidates with expertise in areas such as: Construction Informatics Digital Engineering BIM and Digital Twins Artificial Intelligence and Machine Learning Automation and Intelligent Systems Smart
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(postdoc) Reference no.: 6036 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about
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travel to partner countries as part of the research programme. We are seeking an enthusiastic and experienced researcher with expertise in genomics and bioinformatics, AI and machine learning. The post
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, or be nearing completion of, a PhD in Computer Science or a cognate field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical
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engineers and computational researchers, and to further develop expertise in AI, machine learning, data integration and advanced bioimage analysis. Main Duties & Responsibilities Plan, coordinate and deliver
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machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Research Associate should have proficient programming skills
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
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independently and in a team A focus of research in one of the following areas is desirable: Language ideologies Literacy development Digital practices Coding and/or machine learning We further expect you to have