582 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Austria
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Field
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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
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preferred Excellent knowledge of microeconometric methods for causal inference; knowledge of machine learning methods is preferred Experience in university teaching Strong communication and teamwork skills
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. Identification number: KA-NEURR-2026-003669 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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. Identification number: KA-ALLGC-2026-003686 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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salary of up to € 2.238,25 is possible. Where to apply Website https://www.mdw.ac.at/bewerbungsportal/ Requirements Research FieldArts » OtherEducation LevelMaster Degree or equivalent Skills
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Prior teaching experience Admission Requirements Completed master's or diploma degree in Computer Science or equivalent fields of study with a focus on Data Visualization or Human–Computer Interaction
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project Associations and Dissociations of Dyslexia and Dyscalculia: Cognitive Mechanisms Underlying the Comorbidity of Learning Disorders Independent planning and evaluation of scientific investigations
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. Identification number: KA-ENDO-2026-003663 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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preferential consideration. For the application please use the online form on the homepage: http://www.unileoben.ac.at/jobs ; Where to apply Website https://www.unileoben.ac.at/en/jobs Requirements Research
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at: https://www.akbild.ac.at/en/research/center-for-doctoral-studies/supervisors-of-doctoral-and-phd-projects/supervisors-of-doctoral-and-phd-projects?set_language=en Job description completion