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PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
composition of the nanoparticle. We will be able to develop vaccines that effectively prevent an treat severe diseases for which currently there are no effective vaccines. Methods: Our laboratory uses new and
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include placing machine vision cameras, performing laboratory trials of closed-loop plant care for example with a gantry robot, comparing day and night imaging, and developing and evaluating automated and
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
“PhD relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online
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to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be
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of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 6 June 2025 (23:59 Danish time). Applications must be submitted as one
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(spoken and written). Preferred qualifications Prior experience with 3D cell culture, organoids, CRISPR-Cas9, or imaging-based phenotyping. Familiarity with transcriptomics or basic computational biology (R
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measurements to the results of existing techniques using backscatter to quantify forest attributes through synthetic aperture radar imaging. The overall project, spanning multiple institutions, aims to produce a
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and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be submitted
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on the fate of black holes in our Galaxy. Objectives To gain a full picture of the black hole population in our Galaxy, we aim to combine novel theoretical simulations of black holes with data from nascent
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, healthcare and finance. Yet, while AI has demonstrated a high impact on applications on text and images, proportional progress on tabular data is lacking. With the TRL Lab (Table Representation Learning Lab