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This project explores the use of state-space models (SSMs) for sequence modeling in large language models (LLMs), focusing on their CMOS-based hardware implementation. The PhD candidate will develop energy
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optoelectronic platform for in vivo monitoring of brain organoids allowing for modeling of the diseases. The platform consists of two or multiple compartments which allows to monitor interactions between organoids
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at DanMAX. Collaborate with QIM researchers and help align the development of new image analysis methods with the needs of beamline experiments. Take part in advising MAX IV on infrastructure requirements
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Experience with high-throughput sequencing technologies Who we are At the Department of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within
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tasks: Design OFC and AWG according to standards of optical communication by using commercial software; Study different mechanics to align the output of OFCs and working wavelengths of AWGs, and apply
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fields Has leadership experience within university or research management Can provide strategic support aligned with DTU’s ambitions Is eager to collaborate nationally and internationally Communicates
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. The research will contribute to understanding how energy-related decisions in the built environment can align with global sustainability thresholds. The PhD project will involve interdisciplinary collaboration
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inaccuracy, irregular sampling grids, variations in measurement conditions, and other measurement uncertainties. The responsibilities of a research assistant involve developing technical solutions aligned with
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explain frontier economic and social phenomena. The professor will be affiliated with both DIAS and the Department of Economics, actively engaging with multiple and diverse research environments at SDU
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international partners to align experimental designs, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets