Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Previous experience in programming in R, Python or similar. Previous experience in advanced statistics, e.g. generalized linear mixed models, and/or big data processing. Personal characteristics In
-
Personal characteristics In the doctoral candidate selection process, emphasis will be placed on personal and interpersonal qualities. Important elements to be considered are: Be scientifically curious and
-
(https://bioimagingcore-leuven.sites.vib.be/en). The core offers access, support, consultancy, and training in light- and electron microscope and image processing and analysis. A team of motivated
-
minded Experience in confocal microscopy applications is required Experience in image processing and analysis is required Team player with strong social, communication and didactic skills Well-organized
-
service to society, within the institution and externally. Education You will provide high-quality education in Digital signal and image processing. Profile You hold a PhD in Sciences. You can demonstrate a
-
predictive to disease onset or from cure to prevention. Next-generation sequencing technologies have leveraged novel concepts to diagnose, treat and monitor diseases. Analysis of free-floating cfDNA from blood
-
be supported by Core facilities (Genomics, Animal, Imaging, …) available within the Group of Biomedical Sciences. The candidate: Is an excellent, internationally oriented researcher and develops a
-
(including clinical, biological, imaging and time series data). In particular, we are interested in new AI models which can learn from synthetic data and from imperfect data, but once applied in real-world
-
of the project will be decided depending on the candidate's background. - PHD PROJECT: THE PROTOTYPE STRUCTURE OF CONCEPT DRIFT Linguistic diachronic semantics as developed in Cognitive Linguistics has highlighted
-
, computer vision, and remote sensing, we encourage you to apply and be part of this journey towards revolutionizing Earth observation big data analysis. Requirements Research FieldEngineeringEducation