477 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"L2CM" positions in Denmark
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-event data collection + feedback Assist with analyses and PowerPoint for ongoing projects. Support partner recruitment in our scaling phase (e.g., prospect research) SoMe knowledge is a plus but not a
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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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Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 16 months. You can read more about career paths at DTU here . 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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measurements and interpreting complex data using advanced post-processing techniques (e.g., Distribution of Relaxation Times or DRT). The postdoc will also contribute to the development of an experimental setup
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to James McPherson (mcpherson@sdu.dk ). Application, salary etc. Further information about the PhD programme at the Faculty of Science can be found at the University’s website. The successful applicant will
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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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and UUV to support autonomous coordination and mission execution. This includes using relative measurements, shared environmental representations, and synchronized data exchange to enable precise and
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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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electrical energy storage systems; energy management systems. Experience with data processing, statistical analysis and machine learning techniques is an advantage. Knowledge with Mathworks suite, C/C++ and