Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
their results on advanced equipment. For further information, you may check: wwwen.uni.lu/snt/research/spacer and www.spacer.lu The candidate should develop the following tasks:
-
-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
-
expected to lead ambitious research aligned with the university’s strategic priorities, including cancer research, neurosciences, data-driven health sciences and digital medicine. The ideal candidate has a
-
diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes. LIST is dedicated to maintaining an inclusive work
-
approaches - such as machine learning, artificial intelligence, or other data-driven methodologies - will be an asset. This position is part of the University of Luxembourg's tenure-track scheme, which offers
-
values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff. General information: Contract Type: Fixed Term
-
international partners will be supported. For additional information, please contact Prof. Marie FRIEDEL - marie.friedel@uni.lu
-
Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering and Experimentation: Proficiency with
-
discrete/combinatorial problems. Detailed information about the group can be found on the PCOG website .
-
implementation of novel training strategies under experimental constraints, e.g., active learning and other data-efficient approaches Conduct large-scale benchmarking and comparative evaluation of gene