42 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Cambridge" positions in Luxembourg
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
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
-
, the University has established the Institute for Innovative Teaching and Learning (I²TL) . I²TL operates across three interlinked pillars, namely Teacher Development,Digital Education, and the Education Innovation
-
the Department of Social Sciences (DSOC). The CCY is a multidisciplinary group investigating youth development and social inequalities, with strong connections to national and international research institutes and
-
within the Vice-Rectorate for Research of the University of Luxembourg, the Library plays a strategic role in academic and scientific development. The scope of the LLC is currently expanding, with
-
The SnT is seeking a Postdoc to support the research and development work within the SEDAN group. We seek a candidate with expertise and/or interest in the following relevant fields: machine
-
directly to the development and the excellence of the new Bachelors’ of Science in Nursing. The academic part will be divided between teaching (180 TU/year) and research: Teaching: The holder of the position
-
). The team focuses on the development and design of reliable, safe, and secure software systems, carrying out both upstream activities such as requirements quality assurance and architecture analysis, as
-
experiments in our state-of-the-art SnT Computer Vision Lab and Zero G-Lab Coordinate and participate in the development and implementation of real-time solutions Participate in organizing workshops
-
-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active clinical trials
-
Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial