Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
We are looking for a project manager to develop our activities around the genomic taxonomy of bacterial strains and the corresponding platform at https://bigsdb.pasteur.fr/. The project manager’s
-
analyzed. The tensor model structure estimated by suitable optimization algorithms, such as that recently developed in [GOU20], will be considered as a starting point. • Exploiting data multimodality and
-
connected and valued on their academic journey. Internationally recognised research drives innovation in digital transformation, health, and sustainable development. This scientific progress is supported by
-
of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
-
sustainable future. Contact: Prof. Dr. Ralf Seppelt, Director of the Luxembourg Centre for Socio-Environmental Systems (LCSES) Email: Your profile Candidates should have a proven track record in quantitative
-
. The successful candidate will engage with stakeholders from academia, industry, and policymaking to contribute to practical and scalable solutions for global food security challenges. Contact: Prof. Dr. Ralf
-
the use of synthetic data in precision medicine research and applications through development of AI algorithms, tools and other processes to allow for the enrichment of clinical data sets Providing training
-
identify optimal or near-optimal solutions. To address these challenges, CEA has developed A-DECA (Architecture Design Exploration and Configuration Automation), an in-house Electronic Design Automation (EDA
-
connected and valued on their academic journey. Internationally recognised research drives innovation in digital transformation, health, and sustainable development. This scientific progress is supported by
-
techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems