11 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Stanford-University" positions at University of Copenhagen in Denmark
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Department of Public Health Faculty of Health and Medical Sciences University of Copenhagen Are you skilled in data management and data governance? Do you have a passion for building, managing, and
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broader research community. Further information about the platform is available here . Key Responsibilities Develop, optimize, and validate lipidomics and metabolomics workflows, including sample
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on an overall assessment. Further information on the recruitment process at University of Copenhagen can be found here: https://employment.ku.dk/faculty/recruitment-process/ An Equal Opportunity Workplace
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materials for novel schemes of quantum information applications, including measurement-induced phase transitions. You have proven an ability to envision, plan and execute a research project Good English
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analysis QRT-PCR Western blots Data analysis Terms of salary and employment Your employment will be at BRIC, University of Copenhagen. The position is 15 hours per week and for 1 year, and it is open for
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development section, specifically: Develop and maintain custom Python graphical user interfaces that enhance the usability of the group’s research tools. Optimize data workflows through efficient data
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the implementation of PT in healthcare: unknown mechanisms of action; lack of clinical gold standards; legal/regulatory obstacles; and ethical/societal challenges. More information can be found on the INTEGRATE home
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additional information about the position above, please contact Associate Professor Jan Żylicz, Jan.Zylicz@sund.ku.dk Qualifications A Master´s or Bachelor’s degree or equivalent in a biological sciences
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Copenhagen University Hospital – Amager and Hvidovre. Find information about the department . Job description In the consideration of applications for the professorship, the main emphasis will be
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cardiometabolic diseases by integrating registry data, large-scale GWAS and other omics datasets, as well as data from human clinical trials. A subproject will be based on biobanked and newly collected human saliva