169 web-programmer-developer-"LIST" "https:" "https:" "https:" "https:" positions in Luxembourg
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
, the DHML is offering candidates a range of opportunities to access leadership positions, including study programme directors and domain coordinators, according to the needs and development of the medical
-
Applications should include: Curriculum Vitae Cover letter including a statement of research interest List of publications The names and email address of at least 2 references who can be contacted
-
early stage of their education. Research: The candidate will be responsible for developing his/her own research program and contribute to the Nursing Education Research Programs (NERP) in collaboration
-
detection and automation. The UMLFF project aims to develop next-generation MLFFs with built-in uncertainty predictions to enable safe, automated active learning and create broad, reliable MLFFs. You will
-
research, teaching and other activities (max. 5 pages) Short description of the three most important achievements (max. 2 pages) List of publications, research projects acquired over the past 10 years and
-
embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
-
the development of a higher-layer semantic planning, the decomposition of the plan in subsegments and dedicated controller (such as MPC) for combined planning and control on a subsegment of the XS-Graph
-
development. This scientific progress is supported by cutting-edge infrastructure and a national commitment to education, research, and innovation. The dynamics of a young university offer rare potential and
-
Environmental Engineering area, active in structural and infrastructural research, and funded by national/international programmes and partnerships. Some members contribute to EUROCODE development. The candidate
-
Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial