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changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across the network
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and support well-founded decision-making within the programme. You design and organise engaging workshops and learning experiences for students, connecting digital and technological developments to real
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apply. Understand ML/DL frameworks such as TensorFlow and PyTorch. Familiar with version control systems such as Github, Git, etc. TOEFL, IETLS or other certificates that can prove your English level
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methods tailored to ILC. The PhD researcher will fine-tune and benchmark pathology foundation models using multi-site H&E and immunohistochemistry whole-slide images. The aim is to learn representations
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bioinformatics, statistical genetics, cheminformatics, database development, and the application of machine learning approaches. Project description The PhD project will investigate how genetic variants alter GPCR
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
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, English or another (if unanimously decided). Internal communication is in German. Therefore a basic knowledge of German or the willingness to acquire such knowledge is essential. Work Location(s) Number
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. Tasks include: completing an English-language PhD dissertation consisting of research articles within the appointment period; conducting (panel) surveys, lab experiments, data donation, and qualitative
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hours: 30.00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 30.09.2029 Job ID: 6194 Explore and teach at the University of Vienna, where more than 7,500 academics
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. The preferred starting date for the PhD Candidate is 1 January 2027. Tasks include: completing an English-language PhD dissertation consisting of research articles within the appointment period; conducting (panel