Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
to students from an engineering school or a Master's degree program in physics. Ideal candidates will have knowledge of optics and laser instrumentation (lasers, frequency conversion, optical metrology, etc
-
, computational biology, bioinformatics, data science, or related fields Strong interest in clinical and biomedical data, translational research, and health informatics Experience with programming skills in Python
-
embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
-
interdisciplinary, and together we contribute to science and society. Your role We seek a highly motivated AI scientist, biostatistician or computational biologist who is well versed in the statistical and machine
-
will be embedded in the Computational Mechanics (Legato ) group and enrolled in the Doctoral Programme in Complex Systems Science. Depending on background and interests, the PhD may include: Development
-
the final thesis. The first year of the Ph.D. programme corresponds to the Master in Quantitative Economics and Finance (MQEF). All courses are in English and taught by local faculty and visiting scholars
-
Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are recruiting a contract researcher to join the
-
) 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
-
), Urban Engineering Department (GU). This recruitment is funded via Regional research program EE.4.0 of CPER. as part as SIR-V2G project. Mission The successful applicant will actively contribute