73 postdoctoral-position-in-molecular-dynamic-simulation-self-assemble-polymer Postdoctoral positions at Technical University of Denmark in Denmark
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positions to join a newly established National Center for Remanufacturing - reManuFactory. As part of the reManuFactory project, funded by the Danish Industry Foundation, you will collaborate closely with
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related to your research area. Responsibilities and qualifications We seek to recruit a Postdoc with expertise in the emerging edge computing areas of Embedded AI, Edge AI, TinyML or AIoT. The position is
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Foundation Center for Biosustainability at the Danish Technical University! This position is for you if you are an experienced scientist, and you are looking to make a difference being part of multiple
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Job Description We are seeking a full-time Postdoc in the section of Digital Building Technology (DBT) at DTU, Department of Civil and Mechanical Engineering (DTU Construct). This research position
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, HPLC, analytical chemistry and image analysis. Self-driven, highly motivated, organized, and responsible individual Team player We offer DTU is a leading technical university globally recognized
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Job Description If you are motivated to guide innovation by developing new biobased processes able to contribute to a greener and more sustainable future, this is the perfect position for you. We
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- this position offers you a unique opportunity. At DTU Management and within the National Centre for AI in Society (CAISA), you will be at the forefront of interdisciplinary research, investigating how emerging AI
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for this position. A strong commitment to research. Enthusiasm for working with research students. Independence and strong communication skills. In the assessment of the candidates, consideration will be given
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this postdoc position, along with an additional postdoc and one PhD position, we will tackle this grand challenge by fabricating and studying electrocatalysts with three-dimensional active site structures. With
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Job Description We offer an exciting postdoc position dedicated to developing methods for detecting performance disparities in foundation models for fetal ultrasound and understanding what causes