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to environmental change and socio-environmental systems Language requirements: The University of Luxembourg is set in a multilingual context. The person hired on this position must be proficient in English and
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interest in historical research, migration, and digital infrastructures Familiarity with digital tools and languages such as Wikibase, SPARQL, RDF, Python, GitHub, and Jupyter Notebooks is highly desirable
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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
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) are an asset. Certification in project management (Prince2, PMP or Agile Scrum) highly desirable. Fluency in English and French (mandatory); German or Luxembourgish is an asset.
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The University of Luxembourg is set in a multilingual and multicultural context. The person hired on this position must be proficient in English. Proficiency in French or German is considered an advantage
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, clustering, classification • deep learning, variational auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application: Application files should contain a resumé, an
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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
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skills : We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
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qualities: – Motivation and curiosity – Ability to work in a team and communicate in an international environment – Rigorous, organized, and independent – Good level of English (spoken and written) Work
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(knowing Scratch coding language or another coding language is considered an asset) Experience working with people with a developmental disorder or experience in the education sector Experience in research