51 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Babes-Bolyai-University" positions in Luxembourg
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Applications are invited for a doctoral position at the Institute for Lifespan Development, Family and Culture at the University of Luxembourg. The position is part of an international research
-
students. General information: Contract Type: Fixed Term Contract 12 Month Work Hours: Full Time 40.0 Hours per Week Location: Weicker Building Internal Title: Research and development specialist Job
-
SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
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? Describe the main responsibilities
-
businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Describe the main responsibilities of the position. The position is placed
-
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
-
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
-
involved in student selection, the development of the training plans for nursing students, coordination and organization of theoretical and practical teaching, the evaluation of programs, in close
-
translational and scalability considerations. Responsabilities: Lead the development of hybrid foundation model–graph neural network architectures for gene perturbation prediction, including the design and