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generative models Is highly proficient in Python, PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and sequence or
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and is part of PREPARE — Pedagogical Alignment for Responsible AI in Software Engineering Education , a joint project between SDU and the IT University of Copenhagen (ITU). CIS is a young but fast
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applications. The position includes: Developing batch-processing workflows for MSI and metabolomics data, including normalization, quantification and feature alignment. Developing spatial segmentation
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be the technological and pedagogical design and alignment that can support knowledge building, student agency, reflection and decision making in collaborative environments. Your competencies To apply
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attracting external research funding, and a demonstrated ability to work across disciplines. The candidate will be attached to both the DDC and DIAS and should be prepared to engage in multiple and
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multiple democracies. For Postdoc 1 , we particularly look for: Documented experience with computational text analysis, including natural language processing and the use of (multilingual) large language
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content of the programmes is available here: https://www.aau.dk/uddannelser/bachelor/kommunikation-og-digitale-medier-aalborg , https://www.aau.dk/uddannelser/kandidat/informationsvidenskab , https
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start date 1 February, 2027. Further details and application instructions are available at: https://math.au.dk/en/about/vacancies/phd The webpage includes brief subject descriptions and links to
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become part of the PhD community there. Read more about the PhD education at DTU Space here: https://www.space.dtu.dk/english/phd-education A working environment with a focus on professional
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Thomas Neumann, [email protected] for nærmere information. Se også Instituttets hjemmesiden om ph.d.-uddannelsen https://www.law.aau.dk/forskning/phd/ Ved bedømmelse af ansøgere lægges særlig vægt på