Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
proposal. This PhD will evaluate the efficacy and suitability of digital image collection and analysis for beach litter characterisation on heavily-littered coastlines, in partnership with community groups
-
new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad
-
Institute for Molecular Imaging. The primary objective of the group’s research is to examine the function of immune cells in response to inflammatory processes in living organisms by employing innovative
-
protocols and have affinity with medical topics. You have knowledge of CT dosimetry and radiation physics. You have good experimental skills and experience with image processing. You have some knowledge in
-
related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands
-
communication of the provisional lists of the results in the different phases of the selection process (Admission and Exclusion, Curricular Evaluation, and Interview), the candidates have 10 working days
-
Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 days ago
the reference COMPETE2030-FEDER-00683900, Operation No. 15733, funded by COMPETE2030 and national funds (FCT) under Call for Applications no. MPr-2023-12. Scientific Area: Neuroscience and Neuroengineering 1
-
This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
-
short-listing process for studentship applications will begin on 14 November 2025.
-
system for acquiring and processing images of dried fruits 3. Development of a system for the transport and automatic selection of dried fruits, including initial separation of contaminants and residues