82 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" positions at Aarhus University in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
The Department of Animal and Veterinary Sciences calls for applications for a 4-year position as a postdoctoral researcher in processing and development of new sustainable feed sources. The position
-
the field of environmental analytical chemistry and will focus on technical and conceptual developments in non-target screening , primarily of per- and polyfluoroalkyl substances (PFAS) . Building on previous
-
numerous researchers from the department have established companies to develop new medicinal treatments founded in professional scientific basic research. You can read more about the department here and
-
postdoctoral position in methods development and analysis of multi-omics and clinical data for inflammatory skin diseases. The start date is October 1st, 2025, or as soon as possible thereafter. Research context
-
; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Dražević, and will jointly develop the heterogeneous
-
Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab
-
a central point of contact, helping to align schedules, prepare meetings, and track progress across multiple projects. The position involves a variety of administrative and coordination tasks
-
The Department of Business Development and Technology, Aarhus University, is looking for an experienced Project Manager (academic employee) who can assist on a range of research projects
-
, ideally with practical experience in at least one of these fields, a flair for experimental and field work, and good communication skills in English. You should be willing to engage in multiple projects
-
better and faster decisions when assessing funding applications, ensuring the efficient and unbiased elimination of poor applications? This question can be addressed through training algorithms on past