12 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"ENS-PARIS-SACLAY" positions at University of Copenhagen
Sort by
Refine Your Search
-
We are seeking a Data Scientist to support infrastructure for harmonization and integration of omics related data. Data comes in different formats, and the different programs typically have to be
-
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
-
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
-
external events Research at MOBILE is primarily interdisciplinary. Therefore, familiarity with or interest in law, political science, sociology, data science, or related fields is an advantage. Work
-
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
-
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
-
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
-
information about the position may be obtained by contacting Peter Bollen (peter.bollen@sund.ku.dk) or Clara Prats (cprats@sund.ku.dk). Application Deadline - Submit your application with CV, references, and
-
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
-
involves theoretical and practical knowledge and capability of analyzing large amounts of multi-omic data sets. The multi-omic data includes single cell/nucleus RNA sequencing data, proteomics and