Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Research Focus We are offering a Postdoctoral position in graph machine learning, algorithms, and graph management with particular focus on: Modeling real-world spatio-temporal energy networks Developing
-
) Collaborate within the CPE research group and our local, national and international networks Report your results in peer-review scientific publications and international conferences Teach and supervise PhD, MSc
-
to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring
-
ecological communities reassemble under extreme and unprecedented disturbance regimes. A core goal is to identify the key traits that govern colonization, stress tolerance, and ecosystem functioning in post
-
facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in
-
part of a larger EU project entitled “FEDORA - Federation of network optimization services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient multimodal traffic
-
and AI-based models to uncover key regulatory networks underlying inflammation, aging, and regeneration Collaborate closely with experimental biologists, clinicians, and computational partners in
-
networks driving aging and inflammation using cutting-edge molecular and genomic technologies. The project integrates single-cell and spatial transcriptomics, epigenome and whole-genome sequencing, and
-
, and as a Post Doc at DIKU you are automatically part of the Post Doc Network across DIKU and invited to take part in academic leadership organizing events with different themes relevant for postdocs
-
, mentoring, research dissemination, networking, manuscript drafting etc. Engagement in cutting-edge research in an emerging area of metabolism, with high potential for discovery and future applications