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MB per file. In case you have more than one file per field you need to combine the pdf-files into a single file, as each field handles only one file. We do not accept zip-files, jpg or other image
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energy-efficient CMOS blocks implementing SSM-based LLMs. Prototype hardware blocks on FPGA and prepare for ASIC tape-out. Benchmark performance and comparison with transformer accelerators. Work with
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information from medical images, improvement of image quality to support dose calculation and adaptive treatment delivery, and statistical modeling of patient data as well as development of efficient methods
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these intricate immunological processes. Using advanced bioengineering methods and innovative molecular tools, this project aims to: Develop robust 3D skin-on-a-chip models incorporating genetically engineered
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the pdf-files into a single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password
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for seizure detection. These algorithms will be implemented on a spiking neural network (SNN) processing unit deployed on FPGA and custom-designed chips with an integrated detection mechanism. Research area and
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Mass Spectrometry and Systems Biology research unit’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international
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National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international, collaborative, ambitious and innovative research environment in mass spectrometry
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PDF file. Zip files, image files (jpg, png, etc.), and password-protected PDF files will not be accepted. All PDF files must be unlocked to allow binding. Deadline for the application is June 30, 2025