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their engineering careers. Learn more about our Faculty and its programmes here . Further Information The ideal start date for the successful applicant would be mid-November 2025. The position is open for a part-time
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an exciting opportunity to a graduate with the relevant skills and knowledge to develop and implement machine learning techniques to derive new-to-sector advanced insights from Aids to Navigation maintenance
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rig setups and the modification/re-purposing of existing rigs and equipment. Common activities include machining, cutting, water-jetting, welding, assembling and working with cabling and hydraulics
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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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may also explore embedding these new computational methods into optimisation and machine learning contexts. The new computational techniques developed will be geared towards the following key
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. Fe, S) on CNT purity and structure. Evaluate CNTs as conductive additives in standard Li-ion battery electrodes. Apply AI/machine learning to optimise experimental design and growth parameters
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analyses, and machine learning approaches that link genotype, primarily genome sequence data, to phenotype. A key focus will be developing models to predict the potential threat of various strains to human
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74 Max Perutz Labs Startdate: 24.11.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 23.11.2028 Reference no.: 4605 Explore and teach
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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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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