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Biology research unit’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international, collaborative, ambitious and
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, but not essential skills for both projects: Proficiency in molecular biology techniques, such as (RT-q)PCR Experience in imaging, e.g., fluorescent microscopy You must have a two-year master's degree
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for contributing to moving the frontiers of science. Experience with thin film material science, electrochemistry and/or magnetic imaging techniques. Extensive hands-on experience with NV magnetometry, scanning
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Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalized Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its
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Job Description Are you interested in biomaterials science and cell biology? The TMAT group at DTU Health Tech is offering PhD positions within 3D bioprinting. Human tissue models based on stem
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similar degree with an academic level equivalent to a two-year master's degree in the field of civil- or architectural engineering or similar fields. Experience with the following will be highly
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student with a background in biological engineering, biotechnology or similar. You will work under the supervision of Assistant Professor Raphael Ferreira on large-scale genome engineering in human T cells
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
» Mechanical engineering Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Denmark Application Deadline 19 Oct 2025 - 23:59 (Europe/Copenhagen) Type of Contract
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Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning