Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, United Kingdom Supervisor: Dr. Ivana Savic Focus: computational materials modelling Background: physics, computational materials science. or a closely related discipline Apply: https://mgician.eu/research/doctoral
-
academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
) 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 of teaching and
-
academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
-
institution. The Cluster of Excellence REC² offers (subject to the availability of resources) at the Faculty of Electrical and Computer Engineering, Institute of Semiconductors and Microsystem (IHM), Chair
-
) 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 of teaching and
-
positions in Finance. The program follows the standard international format with rigorous coursework in the first year and for the remaining, up to five years, work on research projects that will make up
-
Pathogens, a WHO Collaborating Centre, and a member of the Leibniz Research Association. The Computational Infection BiologyDepartment, led by Thomas Otto, is seeking a highly motivated PhD Student (in data
-
as a key target for future therapeutic and preventative measures. MICRO-PATH is a competitive, interdisciplinary PhD programme supported by the PRIDE scheme of the Luxembourg National Research Fund