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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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administrative staff, and students. You should also be structured and meticulous in your work, which is essential when collecting and managing data. Qualifications Documented experience with online gas analyzers
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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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on in vivo release of LAI suspensions in nonclinical models using the obtained data to generate a risk matrix for in vivo impact of potential particle size variations. A successful outcome of this
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diatrizoate nanocrystalline suspensions that could be stream autoclaved if the media was added cloud point boosters to bring it to approximately 135 °C. Colleges from Pfizer have at conferences presented data
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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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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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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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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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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