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information For further information, please contact: Professor Torben Heick Jensen, thj@mbg.au.dk, phone +45 60202705 Application procedure Shortlisting is used. This means that after the deadline
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 24 hours ago
Position Information General Information Position Number POST40 Working Title Post-Doctoral Fellow-Machine Learning in Thermal-fluid Sciences Division Academic Affairs Department College
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information For further information, please contact: Professor Torben Heick Jensen, thj@mbg.au.dk, phone +45 60202705 Application procedure Shortlisting is used. This means that after the deadline
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execute MR experiments using hyperpolarized 13C tracers in collaboration with project partners Develop robust experimental procedures and protocols to ensure reproducibility Contribute to data analysis and
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. For more information about working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Both Studies: Attend weekly grant administration meetings. Oversee
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University with related departments. Contact information For further information, please contact Prof Kim Daasbjerg at +45 23 48 52 49 or kdaa@chem.au.dk or alternatively Associate Professor Behzad Partoon
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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. For further information, please contact Professor, dr. scient. et techn. Bo Brummerstedt Iversen (bo@chem.au.dk). Applications including CV, full publication list, references and description of qualifications
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motivated Postdoctoral Associates to join our research team in the field of AI for Precision Medicine and Therapeutics. They will work on developing Artificial Intelligence (AI) and network data science
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), this project aims to characterise the spatial changes in cell and tissue mechanics, as well as gene and protein expression, that occur in lung fibrosis, using spatial multi-omics and mechanical data collected