Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
17 May 2024 Job Information Organisation/Company Ghent University Research Field Chemistry » Other Engineering » Biomedical engineering Engineering » Materials engineering Medical sciences » Other
-
4 May 2024 Job Information Organisation/Company Ghent University Research Field Biological sciences » Other Engineering » Biomedical engineering Engineering » Other Medical sciences » Other
-
of studies (bachelor + master) in the European Union. You have a strong background in mathematical statistics; familiarity with empirical process theory, causal inference or debiased machine learning is a plus
-
Mathematics » Statistics Medical sciences » Other Physics » Biophysics Physics » Computational physics Physics » Other Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 30 Apr
-
Physics » Biophysics Physics » Mathematical physics Physics » Other Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 30 Apr 2024 - 21:59 (UTC) Type of Contract Temporary
-
longitudinal data. This data can be analyzed using deep learning techniques to facilitate patient screening, support medical diagnosis, and forecast important medical events. Furthermore, by considering
-
for Medical Genetics has a longstanding expertise in the introduction of new technologies in the elucidation of genomic defects in children with congenital anomalies. Our research group is currently
-
photoporation treatment. The student will be embedded in the Biophysical Models for Medical Applications (BioMMedA, https://biommeda.ugent.be ) research group, which creates a motivating environment to perform
-
longitudinal data. This data can be analyzed using deep learning techniques to facilitate patient screening, support medical diagnosis, and forecast important medical events. Furthermore, by considering
-
the starting date, i.e., a few months after application) a master's degree in Statistics, or Mathematics, Physics, Computer Science, Engineering (each with a strong statistics or data science component), or