132 postdoctoral-image-processing-in-computer-science-"EPIC" PhD positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in microbiology, biology, veterinary science, food science, or a related field. Approval and
-
, might be for you! Responsibilities and qualifications Working with colleagues in the MULTIBIOMINE project, you will develop computational methods that use novel strategies to uncover hidden features in
-
program “Electrical and Electronic Engineering”. The stipend is open for appointment from 15 of October 2025, or as soon as possible thereafter. The duration of the position is three years. The successful
-
Mass Spectrometry and Systems Biology research unit’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international
-
devices. The microneedles are manufactured by a collaborating group (Biomaterial Microsystems) at DTU Nanolab. The PhD candidate will be a part of the Pharmaceutical Technology group (see more information
-
The Department of Economics at Copenhagen Business School invites applications for a number of vacant PhD scholarships in Economics. The expected start date is February 1, 2026. The Department
-
qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
-
hold an MSc in electronics, computer engineering, or a closely related field. Required Qualification: Applicants must hold an MSc in electronics, computer engineering, or a closely related field. Strong
-
group and are expected to contribute to other departmental tasks. We expect that you have a background in biology or veterinary medicine and have an interest in interactions between diet, intestinal
-
knowledge of production engineering technologies and manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab