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degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset
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Programme description:The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field of nanoscience and
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and statistical data analysis Excellent written and spoken English skills Experience with TMS and proficiency in relevant software (e.g., MATLAB, R, Python, or SPSS) is an advantage Key responsibilities
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psychological assessment, psychometrics, or quantitative methods A track record of publications in peer-reviewed English-language journals Affiliation with a research institution outside of Germany for at least
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. You should have demonstrable programming skill (preferably in functional languages, Rust or Java) and experience in tool development. The position is available on a full time basis until February 2027
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for reconciliation and recognition of Indigenous peoples, as identified in the 2017 Provost Task Force Report on Indigenous Studies and Education. Qualifications Required (skills and abilities, education, language
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AI-focused academic courses for master’s and engineering programs and continuing education in AI. The 3IA Côte d'Azur Institute aims for research excellence in the fundamental fields of AI, and in
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: - pursuing PhD in Education or similar field. - familiarity with youth and gender studies - Strong written and verbal skills in English. Before applying, please note that to work at McGill University, you must
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Experience of programming Excellent written and verbal presentation skills in Norwegian or other Scandinavian languages Personal characteristics Highly motivated to conduct research in the field Excellent
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simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time