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/training. Preferred Qualifications: Demonstrated skills (or ability to learn quickly) in any of the following: programming (especially Python), data science, machine learning, and statistics. Previous
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to apply Website https://recrutement.univ-angers.fr/poste/nga4edph0o-ingenieuree-de-recherche-en… Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Skills/Qualifications
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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
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technical and methodological knowledge Foster new ideas and approaches Scientific and technical development Where to apply Website https://institutminestelecom.recruitee.com/o/ingenieur-en-desagregation-de
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and industrial partners of the project, including Unilever, Shadow Robot Company, Ocado Technology and MathWorks. More details of the project can be found in the following link: https://www.kcl.ac.uk
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approaches in our investigation of encoding and retrieval processes underlying memory performance. Information about all of our research, including ongoing projects, can be found on our lab website at https
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skills are required, particularly in Python and machine learning libraries, along with experience in data management. Experience in model deployment or the development of operational tools will be
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, using modern ETL/ELT tools and orchestration frameworks (for example, Python-based pipelines, dbt Core, Airflow or Prefect) Collaborate with database administrator to design and optimize data structures
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines
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. Proficiency in full-stack AI development - front-end and back-end (e.g., Python, React, Vue, Node.js, Typescript, API's, databases, Git/GitHub, CI/CD, AI Coding Assistants, Infrastructure as Code