Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
antibodies and protein-based vaccines. The PhD candidate will work under the supervision of Assistant Professor Victor Yin within the Protein Analysis Group. The PhD fellowship is part of a larger project
-
20 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Medicine, Department of Health Science and Technology, Medical Informatics and Image Analysis Research
-
, The University of Queensland (UQ), Australia, and Danfoss. You will join a highly interdisciplinary research environment and work closely with leading academic and industrial partners to develop next-generation
-
At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1
-
dynamics and drug responses. The candidate will use atomistic MD simulations to identify biophysical descriptors of receptor function and integrate these with machine-learning approaches to predict ligand
-
on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
-
employment This is a full-time position starting on 1 January 2027, or as soon as possible thereafter. Job description You will contribute to research and advice for authorities on marine ecosystems. The work
-
PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
) in the EU), will be compared to later protected life-stages. Methods include detailed organ histopathology, advanced imaging and spectroscopy, gene expression profiling, behavioral analysis
-
hydrogen storage, downstream processes, and energy demand, to enable more efficient, flexible, and economically viable Power-to-X operation. This position is expected to start from 1st of November 2026 or as
-
challenge in this aging era, undermining the functionality, safety and longevity of critical steel infrastructure. There is an urgent need to advance monitoring, diagnosis and prognosis methods that can