152 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Luxembourg
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
the Department have gone on to become professors.
-
verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Quantum Information Networks, Spectrum Management and Coexistence, Tactile Internet, Earth
-
within the University of Luxembourg’s SciTeach Center (sciteach.uni.lu), a teacher education resource center dedicated to supporting sciences at the primary school levels through teacher education and
-
applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information: Contract Type: Fixed Term Contract 24 Month Work Hours
-
) 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
-
-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
-
career goals align with its objectives Transcript of all modules and results from university-level courses taken PhD diploma or a letter/information indicating the expected defense date List
-
application. To ensure full consideration, candidates should apply by 11.01.2026. General Information: Contract Type: Academic - Permanent. This position is offered at the Full Professor or Associate Professor
-
computer science / information systems engineering. In this project, the aim is to bridge the gap between large language models (LLMs) and task automation, enabling natural language interaction, that is, via a
-
DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
to work both independently and collaboratively with researchers, humanitarian workers, and other colleagues from different scientific backgrounds. · Strong statistical and computer skills including