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flexible, with a preferred start of September 1, 2026. Description The successful applicant will join the Historical Economics and Development Group (HEDG) , one of Europe’s leading centers for quantitative
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are expected to contribute to high-quality, research-based teaching and to develop teaching activities aligned with modern analog and mixed-signal chip design workflows. What We Offer At SDU Microelectronics
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Development Group (HEDG) , one of Europe’s leading centers for quantitative research in economic history, including the economic history of the arts. HEDG is recognized for its strong research profile
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Research associate (ATAP) in Mass Spectrometry and Protein Research - University of Southern Denmark
sustainable future. We do this by cultivating talents and creating the best environments for research and learning. It is therefore crucial that SDU retains, develops and recruits talent. At the same time, we
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ends on July 30 April 2028. The Research Assistant will support the development of a comprehensive and forward-looking environmental assessment framework for marine biomass valorization and biorefinery
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. We do this by cultivating talents and creating the best environments for research and learning. It is therefore crucial that SDU retains, develops and recruits talent. At the same time, we need
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, newsletters, social media) Support, facilitate and coordinate organizing project-related events, training schools, workshops, and meetings Contribute to outreach and capacity-building initiatives Prepare
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publications and conference presentations, and contribution to the continued development of clinical workflows using user-operated audiometry. Expectations of qualifications Candidates must hold a PhD degree
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is therefore crucial that SDU retains, develops and recruits talent. At the same time, we need to ensure consistently high quality in all our activities – and we can only do that with the right people
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. Experience working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks (such as transformers, torch, Megatron, triton etc.) are pluses