Sort by
Refine Your Search
-
Country
-
Field
-
We are looking for a PhD candidate to join the TACsy (Training Alliance for Computational Systems Chemistry) Marie-Sklodowska-Curie Joint Doctoral Network. This network consists of fifteen (15
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
Immunology and Computational Biology Reference number: 2025-0104 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
-
The Department of Mathematics and Computer Science at the University of Southern Denmark (Odense Campus) is offering two PhD scholarships in mathematics and computer science education, focusing
-
The Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), Odense, invites applications for a fully funded PhD position in the foundations of programming
-
Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field of nanoscience and
-
research. For the working group “Past and Future Earth” (PATH) within the Research Department “Earth System Analysis”, PIK is offering a PhD position (m/f/d) (Position number: 21-2025 PhD PATH) in the field
-
to the success of the whole institution. At the Faculty of Chemistry and Food Chemistry, the Chair of Theoretical Chemistry offers a position as Research Associate / PhD Student (m/f/x) (subject to personal
-
students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
-
(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis