Sort by
Refine Your Search
-
-source tools and has a long history in coupling natural language techniques and knowledge graphs. The R&D programme for that position includes several tasks: Generalize and abstract the bot from specific
-
-reviewed journals (preferably in English and / or German) Teaching in the study program Bachelor en Formation Pédagogique and possibly further study programs at the Department of Education and Social Work
-
biology. Biochemical purification of proteins. Languages skills: fluent command of English; knowledge of another language of the European Union is an asset. Researchers are supported by easy access to
-
-CHANGE is an interdisciplinary research program aimed at enhancing neurological health resilience in the face of global change through a One Health approach. By collaborating with Luxembourgish and
-
analysis software (e.g., Atlas.ti, MaxQDA, SPSS) Excellent command of at least two of the following languages: Luxembourgish, German, French (both written and spoken); proficiency in English is an asset We
-
/ NiFi/ Knime, Programming in Python and SQL. Experience with version control systems (Git, CI/CD); Java/Scala is a plus. Familiarity with containerisation and orchestration like Docker and Kubernetes
-
academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming
-
analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g
-
in psychological and cognitive science issues and ambition to advance one of the aforementioned subject areas Fluency in English and French is required; good command of Luxembourgish and / or German is
-
live in. Your role The CLAIM and ICR groups are seeking an outstanding postdoc to strengthen their research teams with expertise in Large Language Models, more precisely in Agentive Reasoning and LLM