180 data-"https:"-"https:"-"https:"-"https:"-"CNRS-Streinth" Postdoctoral positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
. Starting date is 15 April 2026 (or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be
-
. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Matteo Fumagalli, mafum@dtu.dk . You can read more about the
-
quality. Your main tasks will consist of: Conducting independent research of high international quality, including publication in leading journals Performing advanced spatial data analysis, including
-
sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by
-
researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe
-
sensing and autonomous systems into geospatial analysis? Do you thrive in interdisciplinary environments and enjoy combining data-driven research with hands-on fieldwork — whether on boats, underwater
-
sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by
-
mutual agreement, preferably as soon as possible and ends December 31st 2027. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Prof
-
starting date on 1 August 2026 or according to mutual agreement. You can read more about career paths at DTU here . Further information Further information may be obtained from Researcher Nefeli E. Novak
-
, organoid-based models and in vivo cancer and infection models Integration and analysis of transcriptomics and proteomics datasets Establishment and maintenance of standardised experimental pipelines Data