125 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions in Luxembourg
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
administrations, including eBus Competence Center, Emile Weber, GomSpace, Gradel, IEE, Nexxtlab, Telindus, and Ville de Luxembourg. For more information on the ATLAS IPBG Programme, see here: https://edu.lu/wwpy7
-
training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years of postdoctoral experience
-
strong sense of responsibility. Where to apply Website https://www.lih.lu/en/job/?value=JA/PD0226/RK/BIOINFO Requirements Research FieldComputer science » InformaticsEducation LevelPhD or equivalent
-
Intelligence, Computational Linguistics, Data Science, or a closely related field Strong programming skills, e.g., Python, and familiarity with machine learning and/or software engineering workflows; experience
-
understand, explain and advance society and environment we live in. Your role The University of Luxembourg invites applications for a fully funded Ph.D. position in machine-learning force fields (MLFFs
-
integrating distributed energy resources, demand response, and storage, this project aims to enhance grid flexibility and increase the use of renewable energy. Where to apply Website https://app.skeeled.com/s
-
public sector actors, in particular Google Cloud Acquire competitive research funding through national and international funding bodies Take responsibility for all aspects of the research strategy
-
wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom The successful candidate is expected to perform the following tasks: Design, analyse and
-
/admittance, force control Experience with Artificial Intelligence and deep learning concepts for robotics computer vision, tactile sensing, reinforcement learning Experience with robotic simulation tools e.g
-
machine learning technologies in order to provide evidence-based decision support tools in near real time across a variety of thematic domains: disaster risk reduction, sustainable agri-food systems