61 parallel-processing-bioinformatics PhD scholarships at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
“PhD relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online
-
global water contamination through advanced materials science. Your Role: Investigate the structural and chemical dynamics of molecular adsorption processes using advanced characterization techniques
-
biologics development. About the position The purpose of this project is to optimize the process of binder design through closed-loop optimization, emphasizing the efficient achievement of high-affinity and
-
Job Description We are searching for a highly motivated and driven candidate for a 3-year PhD position to investigate integrated photonics-based architectures for quantum information processing. You
-
to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be
-
a PhD at DTU. Application procedure Your complete online application must be submitted no later than 28 September 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing
-
: They are responsible for the central tasks of storing and processing quantum information. The memories must be optically active so distant nodes in a network can be entangled via single photons emitted by the memories
-
), robotics and computing, construction production processes, and life cycle and sustainability analysis (LCA). The successful candidate will be responsible for conducting cutting-edge research in the field
-
relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application
-
scientists and oceanographers in assessing ecosystem status. (2) Data Scientist able to build automated data‑collection and processing pipelines tailored to research questions such as fish seasonality and diel