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the delivery of the school’s learning and teaching outcomes, including working with conventional machine tools/hand tools within an Engineering Machine Shop environment. Ability to use good
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teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our
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malignant precancerous lesions in the mouth. To facilitate the machine learning model building, the virtual oral tissue models will be developed based on knowledge derived from tissue-engineered constructs
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focus may be considered, but preference will be given to candidates with subject matter expertise in the following areas: disruptive technology and AI; Russian strategy and doctrine; military operations
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omics data, digital pathology, using cutting-edge AI and machine learning approaches. You will play a critical role in developing sophisticated computational pipelines, integrating complex multi-omics
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have forged a formidable history. As a teaching-intensive University, our courses are rooted in practice-based learning, and we provide wider support that sets our students up to succeed after graduation
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relevant professional certifications would be advantageous. 10+ years of working experience, including at least 5 in Artificial Intelligence, Machine Learning, Analytics, or a related area.SIT Internal
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that are embedded into routine health systems and data dashboards used to guide policy decisions. This role sits at the intersection of generative machine learning, statistical inference, geospatial analytics, and
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role in the development of testing rig setups and the modification/re-purposing of existing rigs and equipment. Common activities include machining, cutting, water-jetting, welding, assembling and
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to have the following skills and experience: Essential criteria PhD (or near completion) in bioinformatics, computational biology, machine learning, or a related field Significant experience in the analysis