84 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at Ghent University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
) at Ghent University is seeking a highly motivated PhD candidate to join our research program on the plasma-assisted development of advanced tissue engineering scaffolds. The project explores how cold plasmas
-
. The Doctoral Training Program at the Faculty of Pharmaceutical sciences consist of 4 years of doctoral training. This will consist of two year research stay at JRC (Ispra, Italy), followed by a 2-year research
-
. The Doctoral Training Program at the Faculty of Pharmaceutical sciences consist of 4 years of doctoral training. This will consist of two year research stay at Ghent University, followed by a 2-year research
-
Requirements The Odysseus programme is open to two types of candidates: Type I: Researchers who are internationally recognized as pioneers in their field and who have an appointment of minimum 80
-
: Must have a ZAP-affiliation. Copromoters can also be guest professor or postdoctoral researcher. Third Parties (companies, university colleges, strategic research centers, foreign partners, ...) can be
-
working together in a team of 8 researchers and 4 professors. You will share your data and analyses with your co-researchers and supervisors, and engage in extensive collaborative (interdisciplinary
-
What? The TBM programme provides funding for biomedical research that focuses on new therapies or diagnoses, which are already further on the path from discovery to clinical application and offer a
-
that the host defensin protein lactoferrin prevents growth and virulence of pathogenic E. coli. Using recombinant protein engineering, gut organoids, and animal models, you will perform research to increase
-
applications from candidates (m/f/x) with: Educational background A Master’s degree in artificial intelligence, computer science, data science, statistics, engineering, applied mathematics, economics, sociology
-
• Interest/knowledge of statistics, computer science and/or machine learning • Interest in biology or molecular biology, microbial ecology • Proficiency in programming languages such as Python