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for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information
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attach your motivated application, CV and exam certificates. If you would like additional information about the position, please contact Team Lead Innovation Partners, Mette Blaabjerg on 2748 4444
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Bioinformatics Staff Scientist at the Center for Adipocyte Signaling (ADIPOSIGN) (Academic Employee)
researchers in the center to investigate the primary data generated from the experimental interrogation of adipocyte signaling states in isolated murine and human adipocytes using an array of functional
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robotic system capable of autonomously performing standard echocardiography. Your primary tasks will include: Setup annotation platform for labelling Echocardiography videos. Supporting data collection and
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case studies with various types of data collection in a range of manufacturing companies. Thus, the PhD student needs to work with various types of quantitative and qualitative research methods
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certificates. If you would like additional information about the position, please contact Jörg Hübner, Director, jhub@dtu.dk or 45 2278 5157. Applications received after the deadline will not be considered. All
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certificates. If you would like additional information about the position, please contact Professor Philip Loldrup Fosbøl on plf@kt.dtu.dk . Applications received after the deadline will not be considered. All
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. This may be through data collection, data curation, programming, modelling, experiments, open science, development, cooperation with companies, or other activities which may result in publications, patents
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development of the project, incl. budget management and reporting to Danida Anchoring the project at the Office of International Education and across DTU Developing and implementing information packages
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software and code changes. In the long term we are planning to supervise Bachelor/Master projects and potentially develop courses about effective use of large-scale Storage-, HPC-, cloud- and data management