70 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in Luxembourg
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? HfO2-based thin films changed the way we
-
that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/ . The candidate will be funded through an industry partnership with Luxembourgish Leader
-
with the common goal of contributing to an inclusive, open and resourceful society. The Department of Geography and Spatial Planning focuses on spatial development processes on local, regional and
-
understandings of structural behavior and concrete degradation mechanisms. The tasks comprise the development of the tracking system, the development of new concrete damage assessment based on spatially continuous
-
actively shape interdisciplinary theory on sustainable transformations and well-being. The successful candidate will join the Institute for Lifespan Development, Family and Culture within the Department
-
and related research and development by: Co-developing and co-teaching GCE modules for primary school teachers and educators Conducting education research related to the development and implementation
-
Poltavskyi, a leading expert in MLFFs, and within the Theoretical Chemical Physics group led by Prof. Alexandre Tkatchenko, one of the world’s leading groups in machine-learning force-field development
-
, including collaborations with industrial partners as well as national and international academic initiatives. These projects span the full research and development lifecycle, requiring large-scale
-
partners as well as national and international academic initiatives. These projects span the full research and development lifecycle, requiring large-scale experimentation, real-time system implementation
-
translational and scalability considerations. Responsabilities: Lead the development of hybrid foundation model–graph neural network architectures for gene perturbation prediction, including the design and