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Digital Learning Coordinator Vacancy ID 12701 College/Executive Group London College of Communication Department/Team College Education Team Location Hybrid – LCC Elephant and Castle/Home Hybrid
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, multi-omics data integration using machine learning, and potential collaborations with clinical and translational researchers. The project is well-suited for candidates with a background in bioinformatics
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Research Fellow – AI/Machine Learning in Pharmaceutical Data Job No.: 697007 Location: Clayton campus Employment Type: Full-time Duration: 11-month fixed-term appointment Remuneration: $86,195
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Requisition Id 16723 Overview: We are seeking a Postdoctoral Research Associate with expertise in artificial intelligence (AI) and machine learning (ML) for multiscale physical systems
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while cultivating the next generation of local talent in robotics, artificial intelligence, and intelligent sensing technologies. Our Lab aims to hire a Research Associate with strong robotics learning
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of cancer promoting mutations, the checking of which one could model to predict new routes towards preventative cancer. The Research Associate will focus on developing machine-learning (ML) approaches
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contact Enrico Glaab : Your profile We seek a bioinformatician or computational biologist who is well versed in the machine learning and statistical analysis of biomedical data, the use of artificial
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 3 months ago
throughout the Helmholtz Association. Within HI, the Applied Computer Vision Lab (ACVL) at DKFZ develops state-of-the-art methods for image analysis and machine learning, supports researchers in
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Job Summary The Service-Learning Events & Promotions Coordinator supports and coordinates the planning, implementation, and evaluation of Service Learning & Civic Engagement (SLCE) programs, events
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(including infrastructure, pneumatic and functional safety) in an industrial setting. You will be willing to mentor a junior machine installation team and able to adapt to and learn new systems when necessary