566 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions in Austria
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). Identification number: KA-PULMO-2025-003601 All applicants are invited to submit their application online via the recruiting platform. For further job related details see link below: https://www.medunigraz.at
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actively participate in project events. Support the project team in applying for a European Cooperation in Science and Technology (COST, https://www.cost.eu/ ) with the option to participate in the network
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Politics and Social Policy Entry date: 05/08/2026 Job Reference Number: 22900-2026-001859 Job Duties: Conduct independent research in political science and pursue a doctoral project Teach in the institute's
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currently implemented through BBMRI-ERIC’s Work Programme 2025-2027 . Where to apply Website https://bbmrieric.bamboohr.com/careers/67 Requirements Research FieldBiological sciencesEducation LevelPhD
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qualifications and experience. APPLICATION We look forward to receiving your application. Please apply online at https://www.kl.ac.at/en/university/career-kl , quoting reference number “2605”, by 31th March 2026
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to develop intelligent solutions in computer vision, robotics and control. We work closely with industrial and academic partners to bring cutting-edge algorithms onto real machines and into real environments
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skills, including proficiency in statistics, scientific programming, and/or modelling. We especially welcome candidates interested in applying AI and machine learning to analyse heritage datasets
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statistics, scientific programming, and/or modelling. We especially welcome candidates interested in applying AI and machine learning to analyse heritage datasets. What we offer: • A stimulating
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. Georg Pabst (georg.pabst@uni-graz.at ) Where to apply Website https://jobs.uni-graz.at/en/jobs/b6147d26-49c3-f6ac-6302-69a6e1d00728/apply Requirements Research FieldBiological sciencesEducation
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the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists